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Citation preview
DataCite ndash identifiants peacuterennes
pour le partage des donneacutees
Herbert Gruttemeier
Inist-CNRS
Journeacutees FReacuteDoc
Aussois - 9102013
Digital Object Identifier (DOI)
offre une alternative
Identifiant largement utiliseacute pour les articles scientifiques
Chercheurs auteurs eacutediteurs savent comment lrsquoutiliser
Place les jeux de donneacutees sur le mecircme plan que les articles
Jeu de donneacutees
Yancheva et al (2007) Analyses on
sediment of Lake Maar PANGAEA
doi101594PANGAEA587840
URL nrsquoest pas persistant
(ex Wren JD URL decay in MEDLINE- a 4-year follow-up study Bioinformatics 2008 Jun 124(11)1381-5)
DOI pour llsquoaccegraves et la citation
Un DOI pourquoi
DOI (Digital Object Identifier) identifiant persistant
qui permet la citation et fournit un lien stable vers
des ressources numeacuteriques comme les donneacutees de
la recherche
constitueacute de deux parties
105072 datacenter123xy
Preacutefixe Suffixe
httpwwwdoiorg
Au niveau infrastructure les noms DOI sont des handles
httpwwwhandlenet
From KE workshop presentation The Hague June 2011 (L Lannom)
From KE workshop presentation The Hague June 2011 (L Lannom)
From KE workshop presentation The Hague June 2011 (N Paskin)
DataCite
bull Consortium international porteacute par des institutions locales
bull Centreacute sur la valorisation des jeux de donneacutees et autres
donneacutees non textuelles dans les services dlsquoinformation
bull Collaboration avec les centres de donneacutees et organismes
geacuterant des donneacutees
bull Fournit des standards workflows et bonnes pratiques
bull Initialement mais pas exclusivement baseacute sur le systegraveme DOI
bull Protocole dlsquoaccord Paris feacutevrier 2009
bull Creacuteeacute officiellement le 1er deacutecembre 2009 agrave Londres
Membres DataCite bull Technische Informationsbibliothek (TIB) Germany
bull Canada Institute for Scientific and Technical Information (CISTI)
bull California Digital Library USA
bull Purdue University USA bull Office of Scientific and Technical Information (OSTI) USA
bull The British Library
bull Technical Information Center
of Denmark (DTU)
bull Library of TU Delft The Netherlands
bull ZBMed Germany
bull ZBW Germany
bull GESIS Germany
bull Library of ETH Zuumlrich Switzerland bull Institut de lrsquoInformation Scientifique et Technique (INIST-CNRS) France
bull Swedish National Data Service (SND)
bull Australian National Data Service (ANDS) bull Conferenza dei Rettori delle Universitagrave Italiane (CRUI) bull Hungarian Academy of Science bull National Research Council of Thailand (NRCT) Affiliated members bull Digital Curation Center UK
bull Microsoft Research
bull Interuniversity Consortium for Political and Social Research (ICPSR) USA
bull Institute of Electrical and Electronics Engineers (IEEE) USA
bull Korea Institute of Science and Technology Information (KISTI)
bull Beijing Genomics Institute (BGI)
bull Harvard University Library USA
bull World Data System (WDS-ICSU)
Actuellement 26 membres
dont 8 membres affilieacutes
Structure DataCite
Fondation
Internationale DOI
DataCite
Institution membre
Data Centre Data Centre Centre donneacutees
Institution membre
Data Centre Data Centre Centre donneacutees
hellip Collaboration
Administrateur
geacuteneacuteral
(TIB)
Membre
Membre associeacute
DataCite ndash les diffeacuterents rocircles
Agence drsquoattribution de DOI
ndash Maintenance infrastructure
ndash Maintenance drsquoune base de meacutetadonneacutees interrogeable
ndash Gestion des identifiants agrave long terme
ndash Etablissement et partage de bonnes pratiques
Agences de donneacutees (centres de donneacutees institutions de
recherche producteurs de donneacutees bibliothegraveques)
ndash Assurance qualiteacute
ndash Stockage et accegraves au contenu
ndash Creacuteation des identifiants
ndash Creacuteation et mise agrave jour des meacutetadonneacutees
Bridging the gap
Publishers Data centres
DOIs in Use DataCite
CrossRef has registered more than 51 million DOIs on behalf of scholarly publishers
But CrossRef DOIs are not the only DOIs available in the scholarly community DOIs
for datasets associated with scholarly research are being registered by institutions in the DataCite network DataCite and CrossRef have committed to the
interoperability of their DOIs Ideally scholarly content like journals will cite related
data by the appropriate DataCite DOI and in return the data record will cite the
relevant articlersquos CrossRef DOI (from CrossRef Quarterly January 2012)
Bridging the gap
Relier llsquoarticle et les donneacutees sous-jacentes via les DOI
The dataset
Storz D et al (2009)
Planktic foraminiferal flux and faunal composition of sediment trap L1_K276 in the northeastern Atlantic
httpdxdoiorg101594PANGAEA724325
Is supplement to the article
Storz David Schulz Hartmut Waniek Joanna J Schulz-Bull Detlef Kucera Michal (2009) Seasonal and interannual variability of the planktic foraminiferal flux in the vicinity of the Azores Current
Deep-Sea Research Part I-Oceanographic Research Papers 56(1) 107-124
httpdxdoiorg101016jdsr200808009
Citation de donneacutees
Position lsquoofficiellersquo des eacutediteurs
27
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
PS 1389-3 PS 1390-3 PS 1431-1 PS 1640-1 PS 1648-1
Age (kyr) max 23355 ky r PS1389-3f f
00
1000
2000
0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100
54deg 0 54deg 0
54deg30 54deg30
55deg 0 55deg 0
55deg30 55deg30
11deg
11deg
12deg
12deg
13deg
13deg
14deg
14deg
15deg
15deg
World vector shore line
Grain size class KOLP A
Grain size class KOEHN2
Grain size class KOEHN
Geochemistry
Grain size class KOLP B
Grain size class KOLP DIN
20 m
Scale 12695194 at Latitude 0deg
Source Baltic Sea Research Institute Warnemuumlnde
bull Earth quake events =gt doi101594GFZGEOFONgfz2009kciu
bull Climate models =gt doi101594WDCCdphase_mpeps
bull Sea bed photos =gt doi101594PANGAEA757741
bull Videos =gt doi1032072959859860
bull Digitized ancient documents =gt doi1012763L401-06
bull Computational models =gt doi104225024E9F69C011BC8
bull Audio records =gt doi101594PANGAEA339110
bull Grey Literature =gt doi102314GBV489185967
bull Medical case studies =gt doi101594eaacinet2007CR5-270407
De quels types de donneacutees parlons-nous
Anything that is the foundation
of further research
is research data
Data is evidence
bull Dataset
bull Text
bull Collection
bull Event
bull Film
bull Audiovisual
bull Image
bull InteractiveResource
bull Model
bull PhysicalObject
bull Service
bull Software
bull Sound
bull Workflow
bull Other
Actuellement Dataset largement majoritaire gt Text gt Image gt Collection
dans MDS DataCite
Type de ressources DataCite
(proprieacuteteacute resourceTypeGeneral)
Services DataCite
bull DataCite Metadata Store (MDS) Creacuteation DOI et enregistrement des meacutetadonneacutees associeacutees
httpsmdsdataciteorg
bull DataCite Metadata Search
Recherche des meacutetadonneacutees associeacutees aux jeux de donneacutees enregistreacutees dans
DataCite httpsearchdataciteorg
bull DataCite OAI Provider
Exposition des meacutetadonneacutees de DataCite en OAI-PMH
httpoaidataciteorg
bull DataCite Statistics
Statistiques enregistrement DOI et reacutesolution DOI httpstatsdataciteorg
Services DataCite
bull DOI Citation Formatter En collaboration avec CrossRef ndash Creacuteation de diffeacuterents formats de citation pour
les DOI DataCite et CrossRef httpcrossciteorgciteproc
bull Content Negotiation Exposition des meacutetadonneacutees stockeacutees dans MDS en choisissant
parmi un large eacuteventail de formats Possibiliteacute drsquoacceacuteder
directement aux donneacutees gracircce agrave un type diffeacuterent de reacutesolution de DOI
httpdatadataciteorg
bull DataCite Metadata Schema Scheacutema de meacutetadonneacutees DataCite httpschemadataciteorg
bull DataCite Test Environment httptestdataciteorg
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Organisme recherche international CEA CNRS Institut Laue-Langevin ILL Datasets Donneacutees de la recherche X
Organisme recherche
Institut Franccedilais de Recherche pour
lExploitation de la Mer IFREMER Datasets Donneacutees de la recherche X
Editeur Organisme de Recherche
Office National dEtudes et de Recherches
Aeacuterospatiales ONERA Text Articles X
Structure feacutedeacuterative recherche Universiteacute CNRS IRD Observatoire Midi-Pyreacuteneacutees OMP Datasets Donneacutees de la recherche X
Organisme recherche Centre National de Recherche Scientifique CNRS Datasets Donneacutees de la recherche X
Universiteacute Universiteacute Lorraine UL Text Manuscrits anciens X
Universiteacute Universiteacute Nouvelle-Caleacutedonie UNC Text Thegraveses X
Universiteacute CNRS Maison Reneacute Ginouvegraves MAE Film Films X
Organisme recherche
Observatoire Mammifegraveres Echantillonneurs
Milieu Oceacuteanique MEMO Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche Institut Pierre-Simon Laplace IPSL Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche CNRS Archives donneacutees issues statistiques publiques ADISP Text Enquecirctes X
Organisme recherche Centre National de Recherche Scientifique CNRS Images Image Images
Organisme recherche
Institut National de la Santeacute et de la Recherche
Meacutedicale INSERM Datasets Cohortes
Enseignement Supeacuterieur et Recherche Ecole Normale Supeacuterieure Lyon ENS Text Articles dictionnaire
Editeur Cercle de Recherche et d Action Peacutedagogique CRAP Text Articles
Structure feacutedeacuterative Universiteacute CNRS Observatoire oceacuteanologique Villefranche OBS-VLFR Datasets Donneacutees de la recherche
Structure feacutedeacuterative Universiteacute CNRS IRD Observatoire oceacuteanologique Banyuls sur Mer OBS-BANYULS Datasets Donneacutees de la recherche
Editeur Editeur Nouveau Monde Text Articles
Structure feacutedeacuterative recherche Universiteacute CNRS INP
Grenoble Grenoble Images Parole Signal Automatique GIPSA-lab Text Articles Rapports
Organisme recherche Institut national de la Recherche Agronomique INRA Datasets Donneacutees de la recherche
Organisme international
Organisation des Nations Unies pour
lEducation la Science et la Culture UNESCO Datasets Service
Donneacutees de la recherche
Services
Organisme recherche Filiale CNES Collecte Localisation Satellites CLS Datasets Donneacutees de la recherche
Enseignement Supeacuterieur et Recherche Ecole Nationale Aviation Civile ENAC Event Text Actes colloque
Structure feacutedeacuterative recherche CEA CNRS Observatoire des Micro amp Nano Technologies OMNT Text Commentaires articles
Structure feacutedeacuterative recherche Universiteacute IRISA
Institut de Recherche en Informatique et
Systegravemes Aleacuteatoires IRISA Datasets Donneacutees de la recherche
Organisme recherche Centre National de Recherche Scientifique CNRS Text Articles
Universiteacute Universiteacute Pierre et Marie Curie UPMC Text Reacutesumeacutes livres
Universiteacute
Organisme recherche
Universiteacute Paris Diderot
Recherche Agronomique pour le Deacuteveloppement
Paris VII
CIRAD
Text Audiovisual
Datasets
Articles Videacuteos
Donneacutees de la recherche
Type organisme Nom organisme Acronyme Caracteacuteristique objet
Type objet (General
Resource
Type)
Centre donneacutees
creacuteeacute
Reacutepertoire drsquoarchives
de donneacutees
Initiatives lieacutees
bull Thomson-Reuters Data Citation Index
bull European Persistant Identifier Consortium (EPIC)
bull ODIN European project (ORCID and DataCite
Interoperability Network)
bull CODATAICSTI Working Group on Data Citation
bull FORCE 11 Amsterdam Manifesto
bull OpenAIREplus project
bull Research Data Alliance
Data Citation Index
bull Discovery of data most important to
scholarly research
bull Data linked to published research literature
bull Measures of data
citation use and reuse
bull New metrics for digital
scholarship
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
Digital Object Identifier (DOI)
offre une alternative
Identifiant largement utiliseacute pour les articles scientifiques
Chercheurs auteurs eacutediteurs savent comment lrsquoutiliser
Place les jeux de donneacutees sur le mecircme plan que les articles
Jeu de donneacutees
Yancheva et al (2007) Analyses on
sediment of Lake Maar PANGAEA
doi101594PANGAEA587840
URL nrsquoest pas persistant
(ex Wren JD URL decay in MEDLINE- a 4-year follow-up study Bioinformatics 2008 Jun 124(11)1381-5)
DOI pour llsquoaccegraves et la citation
Un DOI pourquoi
DOI (Digital Object Identifier) identifiant persistant
qui permet la citation et fournit un lien stable vers
des ressources numeacuteriques comme les donneacutees de
la recherche
constitueacute de deux parties
105072 datacenter123xy
Preacutefixe Suffixe
httpwwwdoiorg
Au niveau infrastructure les noms DOI sont des handles
httpwwwhandlenet
From KE workshop presentation The Hague June 2011 (L Lannom)
From KE workshop presentation The Hague June 2011 (L Lannom)
From KE workshop presentation The Hague June 2011 (N Paskin)
DataCite
bull Consortium international porteacute par des institutions locales
bull Centreacute sur la valorisation des jeux de donneacutees et autres
donneacutees non textuelles dans les services dlsquoinformation
bull Collaboration avec les centres de donneacutees et organismes
geacuterant des donneacutees
bull Fournit des standards workflows et bonnes pratiques
bull Initialement mais pas exclusivement baseacute sur le systegraveme DOI
bull Protocole dlsquoaccord Paris feacutevrier 2009
bull Creacuteeacute officiellement le 1er deacutecembre 2009 agrave Londres
Membres DataCite bull Technische Informationsbibliothek (TIB) Germany
bull Canada Institute for Scientific and Technical Information (CISTI)
bull California Digital Library USA
bull Purdue University USA bull Office of Scientific and Technical Information (OSTI) USA
bull The British Library
bull Technical Information Center
of Denmark (DTU)
bull Library of TU Delft The Netherlands
bull ZBMed Germany
bull ZBW Germany
bull GESIS Germany
bull Library of ETH Zuumlrich Switzerland bull Institut de lrsquoInformation Scientifique et Technique (INIST-CNRS) France
bull Swedish National Data Service (SND)
bull Australian National Data Service (ANDS) bull Conferenza dei Rettori delle Universitagrave Italiane (CRUI) bull Hungarian Academy of Science bull National Research Council of Thailand (NRCT) Affiliated members bull Digital Curation Center UK
bull Microsoft Research
bull Interuniversity Consortium for Political and Social Research (ICPSR) USA
bull Institute of Electrical and Electronics Engineers (IEEE) USA
bull Korea Institute of Science and Technology Information (KISTI)
bull Beijing Genomics Institute (BGI)
bull Harvard University Library USA
bull World Data System (WDS-ICSU)
Actuellement 26 membres
dont 8 membres affilieacutes
Structure DataCite
Fondation
Internationale DOI
DataCite
Institution membre
Data Centre Data Centre Centre donneacutees
Institution membre
Data Centre Data Centre Centre donneacutees
hellip Collaboration
Administrateur
geacuteneacuteral
(TIB)
Membre
Membre associeacute
DataCite ndash les diffeacuterents rocircles
Agence drsquoattribution de DOI
ndash Maintenance infrastructure
ndash Maintenance drsquoune base de meacutetadonneacutees interrogeable
ndash Gestion des identifiants agrave long terme
ndash Etablissement et partage de bonnes pratiques
Agences de donneacutees (centres de donneacutees institutions de
recherche producteurs de donneacutees bibliothegraveques)
ndash Assurance qualiteacute
ndash Stockage et accegraves au contenu
ndash Creacuteation des identifiants
ndash Creacuteation et mise agrave jour des meacutetadonneacutees
Bridging the gap
Publishers Data centres
DOIs in Use DataCite
CrossRef has registered more than 51 million DOIs on behalf of scholarly publishers
But CrossRef DOIs are not the only DOIs available in the scholarly community DOIs
for datasets associated with scholarly research are being registered by institutions in the DataCite network DataCite and CrossRef have committed to the
interoperability of their DOIs Ideally scholarly content like journals will cite related
data by the appropriate DataCite DOI and in return the data record will cite the
relevant articlersquos CrossRef DOI (from CrossRef Quarterly January 2012)
Bridging the gap
Relier llsquoarticle et les donneacutees sous-jacentes via les DOI
The dataset
Storz D et al (2009)
Planktic foraminiferal flux and faunal composition of sediment trap L1_K276 in the northeastern Atlantic
httpdxdoiorg101594PANGAEA724325
Is supplement to the article
Storz David Schulz Hartmut Waniek Joanna J Schulz-Bull Detlef Kucera Michal (2009) Seasonal and interannual variability of the planktic foraminiferal flux in the vicinity of the Azores Current
Deep-Sea Research Part I-Oceanographic Research Papers 56(1) 107-124
httpdxdoiorg101016jdsr200808009
Citation de donneacutees
Position lsquoofficiellersquo des eacutediteurs
27
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
PS 1389-3 PS 1390-3 PS 1431-1 PS 1640-1 PS 1648-1
Age (kyr) max 23355 ky r PS1389-3f f
00
1000
2000
0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100
54deg 0 54deg 0
54deg30 54deg30
55deg 0 55deg 0
55deg30 55deg30
11deg
11deg
12deg
12deg
13deg
13deg
14deg
14deg
15deg
15deg
World vector shore line
Grain size class KOLP A
Grain size class KOEHN2
Grain size class KOEHN
Geochemistry
Grain size class KOLP B
Grain size class KOLP DIN
20 m
Scale 12695194 at Latitude 0deg
Source Baltic Sea Research Institute Warnemuumlnde
bull Earth quake events =gt doi101594GFZGEOFONgfz2009kciu
bull Climate models =gt doi101594WDCCdphase_mpeps
bull Sea bed photos =gt doi101594PANGAEA757741
bull Videos =gt doi1032072959859860
bull Digitized ancient documents =gt doi1012763L401-06
bull Computational models =gt doi104225024E9F69C011BC8
bull Audio records =gt doi101594PANGAEA339110
bull Grey Literature =gt doi102314GBV489185967
bull Medical case studies =gt doi101594eaacinet2007CR5-270407
De quels types de donneacutees parlons-nous
Anything that is the foundation
of further research
is research data
Data is evidence
bull Dataset
bull Text
bull Collection
bull Event
bull Film
bull Audiovisual
bull Image
bull InteractiveResource
bull Model
bull PhysicalObject
bull Service
bull Software
bull Sound
bull Workflow
bull Other
Actuellement Dataset largement majoritaire gt Text gt Image gt Collection
dans MDS DataCite
Type de ressources DataCite
(proprieacuteteacute resourceTypeGeneral)
Services DataCite
bull DataCite Metadata Store (MDS) Creacuteation DOI et enregistrement des meacutetadonneacutees associeacutees
httpsmdsdataciteorg
bull DataCite Metadata Search
Recherche des meacutetadonneacutees associeacutees aux jeux de donneacutees enregistreacutees dans
DataCite httpsearchdataciteorg
bull DataCite OAI Provider
Exposition des meacutetadonneacutees de DataCite en OAI-PMH
httpoaidataciteorg
bull DataCite Statistics
Statistiques enregistrement DOI et reacutesolution DOI httpstatsdataciteorg
Services DataCite
bull DOI Citation Formatter En collaboration avec CrossRef ndash Creacuteation de diffeacuterents formats de citation pour
les DOI DataCite et CrossRef httpcrossciteorgciteproc
bull Content Negotiation Exposition des meacutetadonneacutees stockeacutees dans MDS en choisissant
parmi un large eacuteventail de formats Possibiliteacute drsquoacceacuteder
directement aux donneacutees gracircce agrave un type diffeacuterent de reacutesolution de DOI
httpdatadataciteorg
bull DataCite Metadata Schema Scheacutema de meacutetadonneacutees DataCite httpschemadataciteorg
bull DataCite Test Environment httptestdataciteorg
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Organisme recherche international CEA CNRS Institut Laue-Langevin ILL Datasets Donneacutees de la recherche X
Organisme recherche
Institut Franccedilais de Recherche pour
lExploitation de la Mer IFREMER Datasets Donneacutees de la recherche X
Editeur Organisme de Recherche
Office National dEtudes et de Recherches
Aeacuterospatiales ONERA Text Articles X
Structure feacutedeacuterative recherche Universiteacute CNRS IRD Observatoire Midi-Pyreacuteneacutees OMP Datasets Donneacutees de la recherche X
Organisme recherche Centre National de Recherche Scientifique CNRS Datasets Donneacutees de la recherche X
Universiteacute Universiteacute Lorraine UL Text Manuscrits anciens X
Universiteacute Universiteacute Nouvelle-Caleacutedonie UNC Text Thegraveses X
Universiteacute CNRS Maison Reneacute Ginouvegraves MAE Film Films X
Organisme recherche
Observatoire Mammifegraveres Echantillonneurs
Milieu Oceacuteanique MEMO Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche Institut Pierre-Simon Laplace IPSL Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche CNRS Archives donneacutees issues statistiques publiques ADISP Text Enquecirctes X
Organisme recherche Centre National de Recherche Scientifique CNRS Images Image Images
Organisme recherche
Institut National de la Santeacute et de la Recherche
Meacutedicale INSERM Datasets Cohortes
Enseignement Supeacuterieur et Recherche Ecole Normale Supeacuterieure Lyon ENS Text Articles dictionnaire
Editeur Cercle de Recherche et d Action Peacutedagogique CRAP Text Articles
Structure feacutedeacuterative Universiteacute CNRS Observatoire oceacuteanologique Villefranche OBS-VLFR Datasets Donneacutees de la recherche
Structure feacutedeacuterative Universiteacute CNRS IRD Observatoire oceacuteanologique Banyuls sur Mer OBS-BANYULS Datasets Donneacutees de la recherche
Editeur Editeur Nouveau Monde Text Articles
Structure feacutedeacuterative recherche Universiteacute CNRS INP
Grenoble Grenoble Images Parole Signal Automatique GIPSA-lab Text Articles Rapports
Organisme recherche Institut national de la Recherche Agronomique INRA Datasets Donneacutees de la recherche
Organisme international
Organisation des Nations Unies pour
lEducation la Science et la Culture UNESCO Datasets Service
Donneacutees de la recherche
Services
Organisme recherche Filiale CNES Collecte Localisation Satellites CLS Datasets Donneacutees de la recherche
Enseignement Supeacuterieur et Recherche Ecole Nationale Aviation Civile ENAC Event Text Actes colloque
Structure feacutedeacuterative recherche CEA CNRS Observatoire des Micro amp Nano Technologies OMNT Text Commentaires articles
Structure feacutedeacuterative recherche Universiteacute IRISA
Institut de Recherche en Informatique et
Systegravemes Aleacuteatoires IRISA Datasets Donneacutees de la recherche
Organisme recherche Centre National de Recherche Scientifique CNRS Text Articles
Universiteacute Universiteacute Pierre et Marie Curie UPMC Text Reacutesumeacutes livres
Universiteacute
Organisme recherche
Universiteacute Paris Diderot
Recherche Agronomique pour le Deacuteveloppement
Paris VII
CIRAD
Text Audiovisual
Datasets
Articles Videacuteos
Donneacutees de la recherche
Type organisme Nom organisme Acronyme Caracteacuteristique objet
Type objet (General
Resource
Type)
Centre donneacutees
creacuteeacute
Reacutepertoire drsquoarchives
de donneacutees
Initiatives lieacutees
bull Thomson-Reuters Data Citation Index
bull European Persistant Identifier Consortium (EPIC)
bull ODIN European project (ORCID and DataCite
Interoperability Network)
bull CODATAICSTI Working Group on Data Citation
bull FORCE 11 Amsterdam Manifesto
bull OpenAIREplus project
bull Research Data Alliance
Data Citation Index
bull Discovery of data most important to
scholarly research
bull Data linked to published research literature
bull Measures of data
citation use and reuse
bull New metrics for digital
scholarship
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
Un DOI pourquoi
DOI (Digital Object Identifier) identifiant persistant
qui permet la citation et fournit un lien stable vers
des ressources numeacuteriques comme les donneacutees de
la recherche
constitueacute de deux parties
105072 datacenter123xy
Preacutefixe Suffixe
httpwwwdoiorg
Au niveau infrastructure les noms DOI sont des handles
httpwwwhandlenet
From KE workshop presentation The Hague June 2011 (L Lannom)
From KE workshop presentation The Hague June 2011 (L Lannom)
From KE workshop presentation The Hague June 2011 (N Paskin)
DataCite
bull Consortium international porteacute par des institutions locales
bull Centreacute sur la valorisation des jeux de donneacutees et autres
donneacutees non textuelles dans les services dlsquoinformation
bull Collaboration avec les centres de donneacutees et organismes
geacuterant des donneacutees
bull Fournit des standards workflows et bonnes pratiques
bull Initialement mais pas exclusivement baseacute sur le systegraveme DOI
bull Protocole dlsquoaccord Paris feacutevrier 2009
bull Creacuteeacute officiellement le 1er deacutecembre 2009 agrave Londres
Membres DataCite bull Technische Informationsbibliothek (TIB) Germany
bull Canada Institute for Scientific and Technical Information (CISTI)
bull California Digital Library USA
bull Purdue University USA bull Office of Scientific and Technical Information (OSTI) USA
bull The British Library
bull Technical Information Center
of Denmark (DTU)
bull Library of TU Delft The Netherlands
bull ZBMed Germany
bull ZBW Germany
bull GESIS Germany
bull Library of ETH Zuumlrich Switzerland bull Institut de lrsquoInformation Scientifique et Technique (INIST-CNRS) France
bull Swedish National Data Service (SND)
bull Australian National Data Service (ANDS) bull Conferenza dei Rettori delle Universitagrave Italiane (CRUI) bull Hungarian Academy of Science bull National Research Council of Thailand (NRCT) Affiliated members bull Digital Curation Center UK
bull Microsoft Research
bull Interuniversity Consortium for Political and Social Research (ICPSR) USA
bull Institute of Electrical and Electronics Engineers (IEEE) USA
bull Korea Institute of Science and Technology Information (KISTI)
bull Beijing Genomics Institute (BGI)
bull Harvard University Library USA
bull World Data System (WDS-ICSU)
Actuellement 26 membres
dont 8 membres affilieacutes
Structure DataCite
Fondation
Internationale DOI
DataCite
Institution membre
Data Centre Data Centre Centre donneacutees
Institution membre
Data Centre Data Centre Centre donneacutees
hellip Collaboration
Administrateur
geacuteneacuteral
(TIB)
Membre
Membre associeacute
DataCite ndash les diffeacuterents rocircles
Agence drsquoattribution de DOI
ndash Maintenance infrastructure
ndash Maintenance drsquoune base de meacutetadonneacutees interrogeable
ndash Gestion des identifiants agrave long terme
ndash Etablissement et partage de bonnes pratiques
Agences de donneacutees (centres de donneacutees institutions de
recherche producteurs de donneacutees bibliothegraveques)
ndash Assurance qualiteacute
ndash Stockage et accegraves au contenu
ndash Creacuteation des identifiants
ndash Creacuteation et mise agrave jour des meacutetadonneacutees
Bridging the gap
Publishers Data centres
DOIs in Use DataCite
CrossRef has registered more than 51 million DOIs on behalf of scholarly publishers
But CrossRef DOIs are not the only DOIs available in the scholarly community DOIs
for datasets associated with scholarly research are being registered by institutions in the DataCite network DataCite and CrossRef have committed to the
interoperability of their DOIs Ideally scholarly content like journals will cite related
data by the appropriate DataCite DOI and in return the data record will cite the
relevant articlersquos CrossRef DOI (from CrossRef Quarterly January 2012)
Bridging the gap
Relier llsquoarticle et les donneacutees sous-jacentes via les DOI
The dataset
Storz D et al (2009)
Planktic foraminiferal flux and faunal composition of sediment trap L1_K276 in the northeastern Atlantic
httpdxdoiorg101594PANGAEA724325
Is supplement to the article
Storz David Schulz Hartmut Waniek Joanna J Schulz-Bull Detlef Kucera Michal (2009) Seasonal and interannual variability of the planktic foraminiferal flux in the vicinity of the Azores Current
Deep-Sea Research Part I-Oceanographic Research Papers 56(1) 107-124
httpdxdoiorg101016jdsr200808009
Citation de donneacutees
Position lsquoofficiellersquo des eacutediteurs
27
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
PS 1389-3 PS 1390-3 PS 1431-1 PS 1640-1 PS 1648-1
Age (kyr) max 23355 ky r PS1389-3f f
00
1000
2000
0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100
54deg 0 54deg 0
54deg30 54deg30
55deg 0 55deg 0
55deg30 55deg30
11deg
11deg
12deg
12deg
13deg
13deg
14deg
14deg
15deg
15deg
World vector shore line
Grain size class KOLP A
Grain size class KOEHN2
Grain size class KOEHN
Geochemistry
Grain size class KOLP B
Grain size class KOLP DIN
20 m
Scale 12695194 at Latitude 0deg
Source Baltic Sea Research Institute Warnemuumlnde
bull Earth quake events =gt doi101594GFZGEOFONgfz2009kciu
bull Climate models =gt doi101594WDCCdphase_mpeps
bull Sea bed photos =gt doi101594PANGAEA757741
bull Videos =gt doi1032072959859860
bull Digitized ancient documents =gt doi1012763L401-06
bull Computational models =gt doi104225024E9F69C011BC8
bull Audio records =gt doi101594PANGAEA339110
bull Grey Literature =gt doi102314GBV489185967
bull Medical case studies =gt doi101594eaacinet2007CR5-270407
De quels types de donneacutees parlons-nous
Anything that is the foundation
of further research
is research data
Data is evidence
bull Dataset
bull Text
bull Collection
bull Event
bull Film
bull Audiovisual
bull Image
bull InteractiveResource
bull Model
bull PhysicalObject
bull Service
bull Software
bull Sound
bull Workflow
bull Other
Actuellement Dataset largement majoritaire gt Text gt Image gt Collection
dans MDS DataCite
Type de ressources DataCite
(proprieacuteteacute resourceTypeGeneral)
Services DataCite
bull DataCite Metadata Store (MDS) Creacuteation DOI et enregistrement des meacutetadonneacutees associeacutees
httpsmdsdataciteorg
bull DataCite Metadata Search
Recherche des meacutetadonneacutees associeacutees aux jeux de donneacutees enregistreacutees dans
DataCite httpsearchdataciteorg
bull DataCite OAI Provider
Exposition des meacutetadonneacutees de DataCite en OAI-PMH
httpoaidataciteorg
bull DataCite Statistics
Statistiques enregistrement DOI et reacutesolution DOI httpstatsdataciteorg
Services DataCite
bull DOI Citation Formatter En collaboration avec CrossRef ndash Creacuteation de diffeacuterents formats de citation pour
les DOI DataCite et CrossRef httpcrossciteorgciteproc
bull Content Negotiation Exposition des meacutetadonneacutees stockeacutees dans MDS en choisissant
parmi un large eacuteventail de formats Possibiliteacute drsquoacceacuteder
directement aux donneacutees gracircce agrave un type diffeacuterent de reacutesolution de DOI
httpdatadataciteorg
bull DataCite Metadata Schema Scheacutema de meacutetadonneacutees DataCite httpschemadataciteorg
bull DataCite Test Environment httptestdataciteorg
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Organisme recherche international CEA CNRS Institut Laue-Langevin ILL Datasets Donneacutees de la recherche X
Organisme recherche
Institut Franccedilais de Recherche pour
lExploitation de la Mer IFREMER Datasets Donneacutees de la recherche X
Editeur Organisme de Recherche
Office National dEtudes et de Recherches
Aeacuterospatiales ONERA Text Articles X
Structure feacutedeacuterative recherche Universiteacute CNRS IRD Observatoire Midi-Pyreacuteneacutees OMP Datasets Donneacutees de la recherche X
Organisme recherche Centre National de Recherche Scientifique CNRS Datasets Donneacutees de la recherche X
Universiteacute Universiteacute Lorraine UL Text Manuscrits anciens X
Universiteacute Universiteacute Nouvelle-Caleacutedonie UNC Text Thegraveses X
Universiteacute CNRS Maison Reneacute Ginouvegraves MAE Film Films X
Organisme recherche
Observatoire Mammifegraveres Echantillonneurs
Milieu Oceacuteanique MEMO Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche Institut Pierre-Simon Laplace IPSL Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche CNRS Archives donneacutees issues statistiques publiques ADISP Text Enquecirctes X
Organisme recherche Centre National de Recherche Scientifique CNRS Images Image Images
Organisme recherche
Institut National de la Santeacute et de la Recherche
Meacutedicale INSERM Datasets Cohortes
Enseignement Supeacuterieur et Recherche Ecole Normale Supeacuterieure Lyon ENS Text Articles dictionnaire
Editeur Cercle de Recherche et d Action Peacutedagogique CRAP Text Articles
Structure feacutedeacuterative Universiteacute CNRS Observatoire oceacuteanologique Villefranche OBS-VLFR Datasets Donneacutees de la recherche
Structure feacutedeacuterative Universiteacute CNRS IRD Observatoire oceacuteanologique Banyuls sur Mer OBS-BANYULS Datasets Donneacutees de la recherche
Editeur Editeur Nouveau Monde Text Articles
Structure feacutedeacuterative recherche Universiteacute CNRS INP
Grenoble Grenoble Images Parole Signal Automatique GIPSA-lab Text Articles Rapports
Organisme recherche Institut national de la Recherche Agronomique INRA Datasets Donneacutees de la recherche
Organisme international
Organisation des Nations Unies pour
lEducation la Science et la Culture UNESCO Datasets Service
Donneacutees de la recherche
Services
Organisme recherche Filiale CNES Collecte Localisation Satellites CLS Datasets Donneacutees de la recherche
Enseignement Supeacuterieur et Recherche Ecole Nationale Aviation Civile ENAC Event Text Actes colloque
Structure feacutedeacuterative recherche CEA CNRS Observatoire des Micro amp Nano Technologies OMNT Text Commentaires articles
Structure feacutedeacuterative recherche Universiteacute IRISA
Institut de Recherche en Informatique et
Systegravemes Aleacuteatoires IRISA Datasets Donneacutees de la recherche
Organisme recherche Centre National de Recherche Scientifique CNRS Text Articles
Universiteacute Universiteacute Pierre et Marie Curie UPMC Text Reacutesumeacutes livres
Universiteacute
Organisme recherche
Universiteacute Paris Diderot
Recherche Agronomique pour le Deacuteveloppement
Paris VII
CIRAD
Text Audiovisual
Datasets
Articles Videacuteos
Donneacutees de la recherche
Type organisme Nom organisme Acronyme Caracteacuteristique objet
Type objet (General
Resource
Type)
Centre donneacutees
creacuteeacute
Reacutepertoire drsquoarchives
de donneacutees
Initiatives lieacutees
bull Thomson-Reuters Data Citation Index
bull European Persistant Identifier Consortium (EPIC)
bull ODIN European project (ORCID and DataCite
Interoperability Network)
bull CODATAICSTI Working Group on Data Citation
bull FORCE 11 Amsterdam Manifesto
bull OpenAIREplus project
bull Research Data Alliance
Data Citation Index
bull Discovery of data most important to
scholarly research
bull Data linked to published research literature
bull Measures of data
citation use and reuse
bull New metrics for digital
scholarship
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
httpwwwdoiorg
Au niveau infrastructure les noms DOI sont des handles
httpwwwhandlenet
From KE workshop presentation The Hague June 2011 (L Lannom)
From KE workshop presentation The Hague June 2011 (L Lannom)
From KE workshop presentation The Hague June 2011 (N Paskin)
DataCite
bull Consortium international porteacute par des institutions locales
bull Centreacute sur la valorisation des jeux de donneacutees et autres
donneacutees non textuelles dans les services dlsquoinformation
bull Collaboration avec les centres de donneacutees et organismes
geacuterant des donneacutees
bull Fournit des standards workflows et bonnes pratiques
bull Initialement mais pas exclusivement baseacute sur le systegraveme DOI
bull Protocole dlsquoaccord Paris feacutevrier 2009
bull Creacuteeacute officiellement le 1er deacutecembre 2009 agrave Londres
Membres DataCite bull Technische Informationsbibliothek (TIB) Germany
bull Canada Institute for Scientific and Technical Information (CISTI)
bull California Digital Library USA
bull Purdue University USA bull Office of Scientific and Technical Information (OSTI) USA
bull The British Library
bull Technical Information Center
of Denmark (DTU)
bull Library of TU Delft The Netherlands
bull ZBMed Germany
bull ZBW Germany
bull GESIS Germany
bull Library of ETH Zuumlrich Switzerland bull Institut de lrsquoInformation Scientifique et Technique (INIST-CNRS) France
bull Swedish National Data Service (SND)
bull Australian National Data Service (ANDS) bull Conferenza dei Rettori delle Universitagrave Italiane (CRUI) bull Hungarian Academy of Science bull National Research Council of Thailand (NRCT) Affiliated members bull Digital Curation Center UK
bull Microsoft Research
bull Interuniversity Consortium for Political and Social Research (ICPSR) USA
bull Institute of Electrical and Electronics Engineers (IEEE) USA
bull Korea Institute of Science and Technology Information (KISTI)
bull Beijing Genomics Institute (BGI)
bull Harvard University Library USA
bull World Data System (WDS-ICSU)
Actuellement 26 membres
dont 8 membres affilieacutes
Structure DataCite
Fondation
Internationale DOI
DataCite
Institution membre
Data Centre Data Centre Centre donneacutees
Institution membre
Data Centre Data Centre Centre donneacutees
hellip Collaboration
Administrateur
geacuteneacuteral
(TIB)
Membre
Membre associeacute
DataCite ndash les diffeacuterents rocircles
Agence drsquoattribution de DOI
ndash Maintenance infrastructure
ndash Maintenance drsquoune base de meacutetadonneacutees interrogeable
ndash Gestion des identifiants agrave long terme
ndash Etablissement et partage de bonnes pratiques
Agences de donneacutees (centres de donneacutees institutions de
recherche producteurs de donneacutees bibliothegraveques)
ndash Assurance qualiteacute
ndash Stockage et accegraves au contenu
ndash Creacuteation des identifiants
ndash Creacuteation et mise agrave jour des meacutetadonneacutees
Bridging the gap
Publishers Data centres
DOIs in Use DataCite
CrossRef has registered more than 51 million DOIs on behalf of scholarly publishers
But CrossRef DOIs are not the only DOIs available in the scholarly community DOIs
for datasets associated with scholarly research are being registered by institutions in the DataCite network DataCite and CrossRef have committed to the
interoperability of their DOIs Ideally scholarly content like journals will cite related
data by the appropriate DataCite DOI and in return the data record will cite the
relevant articlersquos CrossRef DOI (from CrossRef Quarterly January 2012)
Bridging the gap
Relier llsquoarticle et les donneacutees sous-jacentes via les DOI
The dataset
Storz D et al (2009)
Planktic foraminiferal flux and faunal composition of sediment trap L1_K276 in the northeastern Atlantic
httpdxdoiorg101594PANGAEA724325
Is supplement to the article
Storz David Schulz Hartmut Waniek Joanna J Schulz-Bull Detlef Kucera Michal (2009) Seasonal and interannual variability of the planktic foraminiferal flux in the vicinity of the Azores Current
Deep-Sea Research Part I-Oceanographic Research Papers 56(1) 107-124
httpdxdoiorg101016jdsr200808009
Citation de donneacutees
Position lsquoofficiellersquo des eacutediteurs
27
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
PS 1389-3 PS 1390-3 PS 1431-1 PS 1640-1 PS 1648-1
Age (kyr) max 23355 ky r PS1389-3f f
00
1000
2000
0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100
54deg 0 54deg 0
54deg30 54deg30
55deg 0 55deg 0
55deg30 55deg30
11deg
11deg
12deg
12deg
13deg
13deg
14deg
14deg
15deg
15deg
World vector shore line
Grain size class KOLP A
Grain size class KOEHN2
Grain size class KOEHN
Geochemistry
Grain size class KOLP B
Grain size class KOLP DIN
20 m
Scale 12695194 at Latitude 0deg
Source Baltic Sea Research Institute Warnemuumlnde
bull Earth quake events =gt doi101594GFZGEOFONgfz2009kciu
bull Climate models =gt doi101594WDCCdphase_mpeps
bull Sea bed photos =gt doi101594PANGAEA757741
bull Videos =gt doi1032072959859860
bull Digitized ancient documents =gt doi1012763L401-06
bull Computational models =gt doi104225024E9F69C011BC8
bull Audio records =gt doi101594PANGAEA339110
bull Grey Literature =gt doi102314GBV489185967
bull Medical case studies =gt doi101594eaacinet2007CR5-270407
De quels types de donneacutees parlons-nous
Anything that is the foundation
of further research
is research data
Data is evidence
bull Dataset
bull Text
bull Collection
bull Event
bull Film
bull Audiovisual
bull Image
bull InteractiveResource
bull Model
bull PhysicalObject
bull Service
bull Software
bull Sound
bull Workflow
bull Other
Actuellement Dataset largement majoritaire gt Text gt Image gt Collection
dans MDS DataCite
Type de ressources DataCite
(proprieacuteteacute resourceTypeGeneral)
Services DataCite
bull DataCite Metadata Store (MDS) Creacuteation DOI et enregistrement des meacutetadonneacutees associeacutees
httpsmdsdataciteorg
bull DataCite Metadata Search
Recherche des meacutetadonneacutees associeacutees aux jeux de donneacutees enregistreacutees dans
DataCite httpsearchdataciteorg
bull DataCite OAI Provider
Exposition des meacutetadonneacutees de DataCite en OAI-PMH
httpoaidataciteorg
bull DataCite Statistics
Statistiques enregistrement DOI et reacutesolution DOI httpstatsdataciteorg
Services DataCite
bull DOI Citation Formatter En collaboration avec CrossRef ndash Creacuteation de diffeacuterents formats de citation pour
les DOI DataCite et CrossRef httpcrossciteorgciteproc
bull Content Negotiation Exposition des meacutetadonneacutees stockeacutees dans MDS en choisissant
parmi un large eacuteventail de formats Possibiliteacute drsquoacceacuteder
directement aux donneacutees gracircce agrave un type diffeacuterent de reacutesolution de DOI
httpdatadataciteorg
bull DataCite Metadata Schema Scheacutema de meacutetadonneacutees DataCite httpschemadataciteorg
bull DataCite Test Environment httptestdataciteorg
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Organisme recherche international CEA CNRS Institut Laue-Langevin ILL Datasets Donneacutees de la recherche X
Organisme recherche
Institut Franccedilais de Recherche pour
lExploitation de la Mer IFREMER Datasets Donneacutees de la recherche X
Editeur Organisme de Recherche
Office National dEtudes et de Recherches
Aeacuterospatiales ONERA Text Articles X
Structure feacutedeacuterative recherche Universiteacute CNRS IRD Observatoire Midi-Pyreacuteneacutees OMP Datasets Donneacutees de la recherche X
Organisme recherche Centre National de Recherche Scientifique CNRS Datasets Donneacutees de la recherche X
Universiteacute Universiteacute Lorraine UL Text Manuscrits anciens X
Universiteacute Universiteacute Nouvelle-Caleacutedonie UNC Text Thegraveses X
Universiteacute CNRS Maison Reneacute Ginouvegraves MAE Film Films X
Organisme recherche
Observatoire Mammifegraveres Echantillonneurs
Milieu Oceacuteanique MEMO Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche Institut Pierre-Simon Laplace IPSL Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche CNRS Archives donneacutees issues statistiques publiques ADISP Text Enquecirctes X
Organisme recherche Centre National de Recherche Scientifique CNRS Images Image Images
Organisme recherche
Institut National de la Santeacute et de la Recherche
Meacutedicale INSERM Datasets Cohortes
Enseignement Supeacuterieur et Recherche Ecole Normale Supeacuterieure Lyon ENS Text Articles dictionnaire
Editeur Cercle de Recherche et d Action Peacutedagogique CRAP Text Articles
Structure feacutedeacuterative Universiteacute CNRS Observatoire oceacuteanologique Villefranche OBS-VLFR Datasets Donneacutees de la recherche
Structure feacutedeacuterative Universiteacute CNRS IRD Observatoire oceacuteanologique Banyuls sur Mer OBS-BANYULS Datasets Donneacutees de la recherche
Editeur Editeur Nouveau Monde Text Articles
Structure feacutedeacuterative recherche Universiteacute CNRS INP
Grenoble Grenoble Images Parole Signal Automatique GIPSA-lab Text Articles Rapports
Organisme recherche Institut national de la Recherche Agronomique INRA Datasets Donneacutees de la recherche
Organisme international
Organisation des Nations Unies pour
lEducation la Science et la Culture UNESCO Datasets Service
Donneacutees de la recherche
Services
Organisme recherche Filiale CNES Collecte Localisation Satellites CLS Datasets Donneacutees de la recherche
Enseignement Supeacuterieur et Recherche Ecole Nationale Aviation Civile ENAC Event Text Actes colloque
Structure feacutedeacuterative recherche CEA CNRS Observatoire des Micro amp Nano Technologies OMNT Text Commentaires articles
Structure feacutedeacuterative recherche Universiteacute IRISA
Institut de Recherche en Informatique et
Systegravemes Aleacuteatoires IRISA Datasets Donneacutees de la recherche
Organisme recherche Centre National de Recherche Scientifique CNRS Text Articles
Universiteacute Universiteacute Pierre et Marie Curie UPMC Text Reacutesumeacutes livres
Universiteacute
Organisme recherche
Universiteacute Paris Diderot
Recherche Agronomique pour le Deacuteveloppement
Paris VII
CIRAD
Text Audiovisual
Datasets
Articles Videacuteos
Donneacutees de la recherche
Type organisme Nom organisme Acronyme Caracteacuteristique objet
Type objet (General
Resource
Type)
Centre donneacutees
creacuteeacute
Reacutepertoire drsquoarchives
de donneacutees
Initiatives lieacutees
bull Thomson-Reuters Data Citation Index
bull European Persistant Identifier Consortium (EPIC)
bull ODIN European project (ORCID and DataCite
Interoperability Network)
bull CODATAICSTI Working Group on Data Citation
bull FORCE 11 Amsterdam Manifesto
bull OpenAIREplus project
bull Research Data Alliance
Data Citation Index
bull Discovery of data most important to
scholarly research
bull Data linked to published research literature
bull Measures of data
citation use and reuse
bull New metrics for digital
scholarship
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
Au niveau infrastructure les noms DOI sont des handles
httpwwwhandlenet
From KE workshop presentation The Hague June 2011 (L Lannom)
From KE workshop presentation The Hague June 2011 (L Lannom)
From KE workshop presentation The Hague June 2011 (N Paskin)
DataCite
bull Consortium international porteacute par des institutions locales
bull Centreacute sur la valorisation des jeux de donneacutees et autres
donneacutees non textuelles dans les services dlsquoinformation
bull Collaboration avec les centres de donneacutees et organismes
geacuterant des donneacutees
bull Fournit des standards workflows et bonnes pratiques
bull Initialement mais pas exclusivement baseacute sur le systegraveme DOI
bull Protocole dlsquoaccord Paris feacutevrier 2009
bull Creacuteeacute officiellement le 1er deacutecembre 2009 agrave Londres
Membres DataCite bull Technische Informationsbibliothek (TIB) Germany
bull Canada Institute for Scientific and Technical Information (CISTI)
bull California Digital Library USA
bull Purdue University USA bull Office of Scientific and Technical Information (OSTI) USA
bull The British Library
bull Technical Information Center
of Denmark (DTU)
bull Library of TU Delft The Netherlands
bull ZBMed Germany
bull ZBW Germany
bull GESIS Germany
bull Library of ETH Zuumlrich Switzerland bull Institut de lrsquoInformation Scientifique et Technique (INIST-CNRS) France
bull Swedish National Data Service (SND)
bull Australian National Data Service (ANDS) bull Conferenza dei Rettori delle Universitagrave Italiane (CRUI) bull Hungarian Academy of Science bull National Research Council of Thailand (NRCT) Affiliated members bull Digital Curation Center UK
bull Microsoft Research
bull Interuniversity Consortium for Political and Social Research (ICPSR) USA
bull Institute of Electrical and Electronics Engineers (IEEE) USA
bull Korea Institute of Science and Technology Information (KISTI)
bull Beijing Genomics Institute (BGI)
bull Harvard University Library USA
bull World Data System (WDS-ICSU)
Actuellement 26 membres
dont 8 membres affilieacutes
Structure DataCite
Fondation
Internationale DOI
DataCite
Institution membre
Data Centre Data Centre Centre donneacutees
Institution membre
Data Centre Data Centre Centre donneacutees
hellip Collaboration
Administrateur
geacuteneacuteral
(TIB)
Membre
Membre associeacute
DataCite ndash les diffeacuterents rocircles
Agence drsquoattribution de DOI
ndash Maintenance infrastructure
ndash Maintenance drsquoune base de meacutetadonneacutees interrogeable
ndash Gestion des identifiants agrave long terme
ndash Etablissement et partage de bonnes pratiques
Agences de donneacutees (centres de donneacutees institutions de
recherche producteurs de donneacutees bibliothegraveques)
ndash Assurance qualiteacute
ndash Stockage et accegraves au contenu
ndash Creacuteation des identifiants
ndash Creacuteation et mise agrave jour des meacutetadonneacutees
Bridging the gap
Publishers Data centres
DOIs in Use DataCite
CrossRef has registered more than 51 million DOIs on behalf of scholarly publishers
But CrossRef DOIs are not the only DOIs available in the scholarly community DOIs
for datasets associated with scholarly research are being registered by institutions in the DataCite network DataCite and CrossRef have committed to the
interoperability of their DOIs Ideally scholarly content like journals will cite related
data by the appropriate DataCite DOI and in return the data record will cite the
relevant articlersquos CrossRef DOI (from CrossRef Quarterly January 2012)
Bridging the gap
Relier llsquoarticle et les donneacutees sous-jacentes via les DOI
The dataset
Storz D et al (2009)
Planktic foraminiferal flux and faunal composition of sediment trap L1_K276 in the northeastern Atlantic
httpdxdoiorg101594PANGAEA724325
Is supplement to the article
Storz David Schulz Hartmut Waniek Joanna J Schulz-Bull Detlef Kucera Michal (2009) Seasonal and interannual variability of the planktic foraminiferal flux in the vicinity of the Azores Current
Deep-Sea Research Part I-Oceanographic Research Papers 56(1) 107-124
httpdxdoiorg101016jdsr200808009
Citation de donneacutees
Position lsquoofficiellersquo des eacutediteurs
27
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
PS 1389-3 PS 1390-3 PS 1431-1 PS 1640-1 PS 1648-1
Age (kyr) max 23355 ky r PS1389-3f f
00
1000
2000
0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100
54deg 0 54deg 0
54deg30 54deg30
55deg 0 55deg 0
55deg30 55deg30
11deg
11deg
12deg
12deg
13deg
13deg
14deg
14deg
15deg
15deg
World vector shore line
Grain size class KOLP A
Grain size class KOEHN2
Grain size class KOEHN
Geochemistry
Grain size class KOLP B
Grain size class KOLP DIN
20 m
Scale 12695194 at Latitude 0deg
Source Baltic Sea Research Institute Warnemuumlnde
bull Earth quake events =gt doi101594GFZGEOFONgfz2009kciu
bull Climate models =gt doi101594WDCCdphase_mpeps
bull Sea bed photos =gt doi101594PANGAEA757741
bull Videos =gt doi1032072959859860
bull Digitized ancient documents =gt doi1012763L401-06
bull Computational models =gt doi104225024E9F69C011BC8
bull Audio records =gt doi101594PANGAEA339110
bull Grey Literature =gt doi102314GBV489185967
bull Medical case studies =gt doi101594eaacinet2007CR5-270407
De quels types de donneacutees parlons-nous
Anything that is the foundation
of further research
is research data
Data is evidence
bull Dataset
bull Text
bull Collection
bull Event
bull Film
bull Audiovisual
bull Image
bull InteractiveResource
bull Model
bull PhysicalObject
bull Service
bull Software
bull Sound
bull Workflow
bull Other
Actuellement Dataset largement majoritaire gt Text gt Image gt Collection
dans MDS DataCite
Type de ressources DataCite
(proprieacuteteacute resourceTypeGeneral)
Services DataCite
bull DataCite Metadata Store (MDS) Creacuteation DOI et enregistrement des meacutetadonneacutees associeacutees
httpsmdsdataciteorg
bull DataCite Metadata Search
Recherche des meacutetadonneacutees associeacutees aux jeux de donneacutees enregistreacutees dans
DataCite httpsearchdataciteorg
bull DataCite OAI Provider
Exposition des meacutetadonneacutees de DataCite en OAI-PMH
httpoaidataciteorg
bull DataCite Statistics
Statistiques enregistrement DOI et reacutesolution DOI httpstatsdataciteorg
Services DataCite
bull DOI Citation Formatter En collaboration avec CrossRef ndash Creacuteation de diffeacuterents formats de citation pour
les DOI DataCite et CrossRef httpcrossciteorgciteproc
bull Content Negotiation Exposition des meacutetadonneacutees stockeacutees dans MDS en choisissant
parmi un large eacuteventail de formats Possibiliteacute drsquoacceacuteder
directement aux donneacutees gracircce agrave un type diffeacuterent de reacutesolution de DOI
httpdatadataciteorg
bull DataCite Metadata Schema Scheacutema de meacutetadonneacutees DataCite httpschemadataciteorg
bull DataCite Test Environment httptestdataciteorg
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Organisme recherche international CEA CNRS Institut Laue-Langevin ILL Datasets Donneacutees de la recherche X
Organisme recherche
Institut Franccedilais de Recherche pour
lExploitation de la Mer IFREMER Datasets Donneacutees de la recherche X
Editeur Organisme de Recherche
Office National dEtudes et de Recherches
Aeacuterospatiales ONERA Text Articles X
Structure feacutedeacuterative recherche Universiteacute CNRS IRD Observatoire Midi-Pyreacuteneacutees OMP Datasets Donneacutees de la recherche X
Organisme recherche Centre National de Recherche Scientifique CNRS Datasets Donneacutees de la recherche X
Universiteacute Universiteacute Lorraine UL Text Manuscrits anciens X
Universiteacute Universiteacute Nouvelle-Caleacutedonie UNC Text Thegraveses X
Universiteacute CNRS Maison Reneacute Ginouvegraves MAE Film Films X
Organisme recherche
Observatoire Mammifegraveres Echantillonneurs
Milieu Oceacuteanique MEMO Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche Institut Pierre-Simon Laplace IPSL Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche CNRS Archives donneacutees issues statistiques publiques ADISP Text Enquecirctes X
Organisme recherche Centre National de Recherche Scientifique CNRS Images Image Images
Organisme recherche
Institut National de la Santeacute et de la Recherche
Meacutedicale INSERM Datasets Cohortes
Enseignement Supeacuterieur et Recherche Ecole Normale Supeacuterieure Lyon ENS Text Articles dictionnaire
Editeur Cercle de Recherche et d Action Peacutedagogique CRAP Text Articles
Structure feacutedeacuterative Universiteacute CNRS Observatoire oceacuteanologique Villefranche OBS-VLFR Datasets Donneacutees de la recherche
Structure feacutedeacuterative Universiteacute CNRS IRD Observatoire oceacuteanologique Banyuls sur Mer OBS-BANYULS Datasets Donneacutees de la recherche
Editeur Editeur Nouveau Monde Text Articles
Structure feacutedeacuterative recherche Universiteacute CNRS INP
Grenoble Grenoble Images Parole Signal Automatique GIPSA-lab Text Articles Rapports
Organisme recherche Institut national de la Recherche Agronomique INRA Datasets Donneacutees de la recherche
Organisme international
Organisation des Nations Unies pour
lEducation la Science et la Culture UNESCO Datasets Service
Donneacutees de la recherche
Services
Organisme recherche Filiale CNES Collecte Localisation Satellites CLS Datasets Donneacutees de la recherche
Enseignement Supeacuterieur et Recherche Ecole Nationale Aviation Civile ENAC Event Text Actes colloque
Structure feacutedeacuterative recherche CEA CNRS Observatoire des Micro amp Nano Technologies OMNT Text Commentaires articles
Structure feacutedeacuterative recherche Universiteacute IRISA
Institut de Recherche en Informatique et
Systegravemes Aleacuteatoires IRISA Datasets Donneacutees de la recherche
Organisme recherche Centre National de Recherche Scientifique CNRS Text Articles
Universiteacute Universiteacute Pierre et Marie Curie UPMC Text Reacutesumeacutes livres
Universiteacute
Organisme recherche
Universiteacute Paris Diderot
Recherche Agronomique pour le Deacuteveloppement
Paris VII
CIRAD
Text Audiovisual
Datasets
Articles Videacuteos
Donneacutees de la recherche
Type organisme Nom organisme Acronyme Caracteacuteristique objet
Type objet (General
Resource
Type)
Centre donneacutees
creacuteeacute
Reacutepertoire drsquoarchives
de donneacutees
Initiatives lieacutees
bull Thomson-Reuters Data Citation Index
bull European Persistant Identifier Consortium (EPIC)
bull ODIN European project (ORCID and DataCite
Interoperability Network)
bull CODATAICSTI Working Group on Data Citation
bull FORCE 11 Amsterdam Manifesto
bull OpenAIREplus project
bull Research Data Alliance
Data Citation Index
bull Discovery of data most important to
scholarly research
bull Data linked to published research literature
bull Measures of data
citation use and reuse
bull New metrics for digital
scholarship
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
From KE workshop presentation The Hague June 2011 (L Lannom)
From KE workshop presentation The Hague June 2011 (L Lannom)
From KE workshop presentation The Hague June 2011 (N Paskin)
DataCite
bull Consortium international porteacute par des institutions locales
bull Centreacute sur la valorisation des jeux de donneacutees et autres
donneacutees non textuelles dans les services dlsquoinformation
bull Collaboration avec les centres de donneacutees et organismes
geacuterant des donneacutees
bull Fournit des standards workflows et bonnes pratiques
bull Initialement mais pas exclusivement baseacute sur le systegraveme DOI
bull Protocole dlsquoaccord Paris feacutevrier 2009
bull Creacuteeacute officiellement le 1er deacutecembre 2009 agrave Londres
Membres DataCite bull Technische Informationsbibliothek (TIB) Germany
bull Canada Institute for Scientific and Technical Information (CISTI)
bull California Digital Library USA
bull Purdue University USA bull Office of Scientific and Technical Information (OSTI) USA
bull The British Library
bull Technical Information Center
of Denmark (DTU)
bull Library of TU Delft The Netherlands
bull ZBMed Germany
bull ZBW Germany
bull GESIS Germany
bull Library of ETH Zuumlrich Switzerland bull Institut de lrsquoInformation Scientifique et Technique (INIST-CNRS) France
bull Swedish National Data Service (SND)
bull Australian National Data Service (ANDS) bull Conferenza dei Rettori delle Universitagrave Italiane (CRUI) bull Hungarian Academy of Science bull National Research Council of Thailand (NRCT) Affiliated members bull Digital Curation Center UK
bull Microsoft Research
bull Interuniversity Consortium for Political and Social Research (ICPSR) USA
bull Institute of Electrical and Electronics Engineers (IEEE) USA
bull Korea Institute of Science and Technology Information (KISTI)
bull Beijing Genomics Institute (BGI)
bull Harvard University Library USA
bull World Data System (WDS-ICSU)
Actuellement 26 membres
dont 8 membres affilieacutes
Structure DataCite
Fondation
Internationale DOI
DataCite
Institution membre
Data Centre Data Centre Centre donneacutees
Institution membre
Data Centre Data Centre Centre donneacutees
hellip Collaboration
Administrateur
geacuteneacuteral
(TIB)
Membre
Membre associeacute
DataCite ndash les diffeacuterents rocircles
Agence drsquoattribution de DOI
ndash Maintenance infrastructure
ndash Maintenance drsquoune base de meacutetadonneacutees interrogeable
ndash Gestion des identifiants agrave long terme
ndash Etablissement et partage de bonnes pratiques
Agences de donneacutees (centres de donneacutees institutions de
recherche producteurs de donneacutees bibliothegraveques)
ndash Assurance qualiteacute
ndash Stockage et accegraves au contenu
ndash Creacuteation des identifiants
ndash Creacuteation et mise agrave jour des meacutetadonneacutees
Bridging the gap
Publishers Data centres
DOIs in Use DataCite
CrossRef has registered more than 51 million DOIs on behalf of scholarly publishers
But CrossRef DOIs are not the only DOIs available in the scholarly community DOIs
for datasets associated with scholarly research are being registered by institutions in the DataCite network DataCite and CrossRef have committed to the
interoperability of their DOIs Ideally scholarly content like journals will cite related
data by the appropriate DataCite DOI and in return the data record will cite the
relevant articlersquos CrossRef DOI (from CrossRef Quarterly January 2012)
Bridging the gap
Relier llsquoarticle et les donneacutees sous-jacentes via les DOI
The dataset
Storz D et al (2009)
Planktic foraminiferal flux and faunal composition of sediment trap L1_K276 in the northeastern Atlantic
httpdxdoiorg101594PANGAEA724325
Is supplement to the article
Storz David Schulz Hartmut Waniek Joanna J Schulz-Bull Detlef Kucera Michal (2009) Seasonal and interannual variability of the planktic foraminiferal flux in the vicinity of the Azores Current
Deep-Sea Research Part I-Oceanographic Research Papers 56(1) 107-124
httpdxdoiorg101016jdsr200808009
Citation de donneacutees
Position lsquoofficiellersquo des eacutediteurs
27
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
PS 1389-3 PS 1390-3 PS 1431-1 PS 1640-1 PS 1648-1
Age (kyr) max 23355 ky r PS1389-3f f
00
1000
2000
0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100
54deg 0 54deg 0
54deg30 54deg30
55deg 0 55deg 0
55deg30 55deg30
11deg
11deg
12deg
12deg
13deg
13deg
14deg
14deg
15deg
15deg
World vector shore line
Grain size class KOLP A
Grain size class KOEHN2
Grain size class KOEHN
Geochemistry
Grain size class KOLP B
Grain size class KOLP DIN
20 m
Scale 12695194 at Latitude 0deg
Source Baltic Sea Research Institute Warnemuumlnde
bull Earth quake events =gt doi101594GFZGEOFONgfz2009kciu
bull Climate models =gt doi101594WDCCdphase_mpeps
bull Sea bed photos =gt doi101594PANGAEA757741
bull Videos =gt doi1032072959859860
bull Digitized ancient documents =gt doi1012763L401-06
bull Computational models =gt doi104225024E9F69C011BC8
bull Audio records =gt doi101594PANGAEA339110
bull Grey Literature =gt doi102314GBV489185967
bull Medical case studies =gt doi101594eaacinet2007CR5-270407
De quels types de donneacutees parlons-nous
Anything that is the foundation
of further research
is research data
Data is evidence
bull Dataset
bull Text
bull Collection
bull Event
bull Film
bull Audiovisual
bull Image
bull InteractiveResource
bull Model
bull PhysicalObject
bull Service
bull Software
bull Sound
bull Workflow
bull Other
Actuellement Dataset largement majoritaire gt Text gt Image gt Collection
dans MDS DataCite
Type de ressources DataCite
(proprieacuteteacute resourceTypeGeneral)
Services DataCite
bull DataCite Metadata Store (MDS) Creacuteation DOI et enregistrement des meacutetadonneacutees associeacutees
httpsmdsdataciteorg
bull DataCite Metadata Search
Recherche des meacutetadonneacutees associeacutees aux jeux de donneacutees enregistreacutees dans
DataCite httpsearchdataciteorg
bull DataCite OAI Provider
Exposition des meacutetadonneacutees de DataCite en OAI-PMH
httpoaidataciteorg
bull DataCite Statistics
Statistiques enregistrement DOI et reacutesolution DOI httpstatsdataciteorg
Services DataCite
bull DOI Citation Formatter En collaboration avec CrossRef ndash Creacuteation de diffeacuterents formats de citation pour
les DOI DataCite et CrossRef httpcrossciteorgciteproc
bull Content Negotiation Exposition des meacutetadonneacutees stockeacutees dans MDS en choisissant
parmi un large eacuteventail de formats Possibiliteacute drsquoacceacuteder
directement aux donneacutees gracircce agrave un type diffeacuterent de reacutesolution de DOI
httpdatadataciteorg
bull DataCite Metadata Schema Scheacutema de meacutetadonneacutees DataCite httpschemadataciteorg
bull DataCite Test Environment httptestdataciteorg
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Organisme recherche international CEA CNRS Institut Laue-Langevin ILL Datasets Donneacutees de la recherche X
Organisme recherche
Institut Franccedilais de Recherche pour
lExploitation de la Mer IFREMER Datasets Donneacutees de la recherche X
Editeur Organisme de Recherche
Office National dEtudes et de Recherches
Aeacuterospatiales ONERA Text Articles X
Structure feacutedeacuterative recherche Universiteacute CNRS IRD Observatoire Midi-Pyreacuteneacutees OMP Datasets Donneacutees de la recherche X
Organisme recherche Centre National de Recherche Scientifique CNRS Datasets Donneacutees de la recherche X
Universiteacute Universiteacute Lorraine UL Text Manuscrits anciens X
Universiteacute Universiteacute Nouvelle-Caleacutedonie UNC Text Thegraveses X
Universiteacute CNRS Maison Reneacute Ginouvegraves MAE Film Films X
Organisme recherche
Observatoire Mammifegraveres Echantillonneurs
Milieu Oceacuteanique MEMO Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche Institut Pierre-Simon Laplace IPSL Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche CNRS Archives donneacutees issues statistiques publiques ADISP Text Enquecirctes X
Organisme recherche Centre National de Recherche Scientifique CNRS Images Image Images
Organisme recherche
Institut National de la Santeacute et de la Recherche
Meacutedicale INSERM Datasets Cohortes
Enseignement Supeacuterieur et Recherche Ecole Normale Supeacuterieure Lyon ENS Text Articles dictionnaire
Editeur Cercle de Recherche et d Action Peacutedagogique CRAP Text Articles
Structure feacutedeacuterative Universiteacute CNRS Observatoire oceacuteanologique Villefranche OBS-VLFR Datasets Donneacutees de la recherche
Structure feacutedeacuterative Universiteacute CNRS IRD Observatoire oceacuteanologique Banyuls sur Mer OBS-BANYULS Datasets Donneacutees de la recherche
Editeur Editeur Nouveau Monde Text Articles
Structure feacutedeacuterative recherche Universiteacute CNRS INP
Grenoble Grenoble Images Parole Signal Automatique GIPSA-lab Text Articles Rapports
Organisme recherche Institut national de la Recherche Agronomique INRA Datasets Donneacutees de la recherche
Organisme international
Organisation des Nations Unies pour
lEducation la Science et la Culture UNESCO Datasets Service
Donneacutees de la recherche
Services
Organisme recherche Filiale CNES Collecte Localisation Satellites CLS Datasets Donneacutees de la recherche
Enseignement Supeacuterieur et Recherche Ecole Nationale Aviation Civile ENAC Event Text Actes colloque
Structure feacutedeacuterative recherche CEA CNRS Observatoire des Micro amp Nano Technologies OMNT Text Commentaires articles
Structure feacutedeacuterative recherche Universiteacute IRISA
Institut de Recherche en Informatique et
Systegravemes Aleacuteatoires IRISA Datasets Donneacutees de la recherche
Organisme recherche Centre National de Recherche Scientifique CNRS Text Articles
Universiteacute Universiteacute Pierre et Marie Curie UPMC Text Reacutesumeacutes livres
Universiteacute
Organisme recherche
Universiteacute Paris Diderot
Recherche Agronomique pour le Deacuteveloppement
Paris VII
CIRAD
Text Audiovisual
Datasets
Articles Videacuteos
Donneacutees de la recherche
Type organisme Nom organisme Acronyme Caracteacuteristique objet
Type objet (General
Resource
Type)
Centre donneacutees
creacuteeacute
Reacutepertoire drsquoarchives
de donneacutees
Initiatives lieacutees
bull Thomson-Reuters Data Citation Index
bull European Persistant Identifier Consortium (EPIC)
bull ODIN European project (ORCID and DataCite
Interoperability Network)
bull CODATAICSTI Working Group on Data Citation
bull FORCE 11 Amsterdam Manifesto
bull OpenAIREplus project
bull Research Data Alliance
Data Citation Index
bull Discovery of data most important to
scholarly research
bull Data linked to published research literature
bull Measures of data
citation use and reuse
bull New metrics for digital
scholarship
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
From KE workshop presentation The Hague June 2011 (L Lannom)
From KE workshop presentation The Hague June 2011 (N Paskin)
DataCite
bull Consortium international porteacute par des institutions locales
bull Centreacute sur la valorisation des jeux de donneacutees et autres
donneacutees non textuelles dans les services dlsquoinformation
bull Collaboration avec les centres de donneacutees et organismes
geacuterant des donneacutees
bull Fournit des standards workflows et bonnes pratiques
bull Initialement mais pas exclusivement baseacute sur le systegraveme DOI
bull Protocole dlsquoaccord Paris feacutevrier 2009
bull Creacuteeacute officiellement le 1er deacutecembre 2009 agrave Londres
Membres DataCite bull Technische Informationsbibliothek (TIB) Germany
bull Canada Institute for Scientific and Technical Information (CISTI)
bull California Digital Library USA
bull Purdue University USA bull Office of Scientific and Technical Information (OSTI) USA
bull The British Library
bull Technical Information Center
of Denmark (DTU)
bull Library of TU Delft The Netherlands
bull ZBMed Germany
bull ZBW Germany
bull GESIS Germany
bull Library of ETH Zuumlrich Switzerland bull Institut de lrsquoInformation Scientifique et Technique (INIST-CNRS) France
bull Swedish National Data Service (SND)
bull Australian National Data Service (ANDS) bull Conferenza dei Rettori delle Universitagrave Italiane (CRUI) bull Hungarian Academy of Science bull National Research Council of Thailand (NRCT) Affiliated members bull Digital Curation Center UK
bull Microsoft Research
bull Interuniversity Consortium for Political and Social Research (ICPSR) USA
bull Institute of Electrical and Electronics Engineers (IEEE) USA
bull Korea Institute of Science and Technology Information (KISTI)
bull Beijing Genomics Institute (BGI)
bull Harvard University Library USA
bull World Data System (WDS-ICSU)
Actuellement 26 membres
dont 8 membres affilieacutes
Structure DataCite
Fondation
Internationale DOI
DataCite
Institution membre
Data Centre Data Centre Centre donneacutees
Institution membre
Data Centre Data Centre Centre donneacutees
hellip Collaboration
Administrateur
geacuteneacuteral
(TIB)
Membre
Membre associeacute
DataCite ndash les diffeacuterents rocircles
Agence drsquoattribution de DOI
ndash Maintenance infrastructure
ndash Maintenance drsquoune base de meacutetadonneacutees interrogeable
ndash Gestion des identifiants agrave long terme
ndash Etablissement et partage de bonnes pratiques
Agences de donneacutees (centres de donneacutees institutions de
recherche producteurs de donneacutees bibliothegraveques)
ndash Assurance qualiteacute
ndash Stockage et accegraves au contenu
ndash Creacuteation des identifiants
ndash Creacuteation et mise agrave jour des meacutetadonneacutees
Bridging the gap
Publishers Data centres
DOIs in Use DataCite
CrossRef has registered more than 51 million DOIs on behalf of scholarly publishers
But CrossRef DOIs are not the only DOIs available in the scholarly community DOIs
for datasets associated with scholarly research are being registered by institutions in the DataCite network DataCite and CrossRef have committed to the
interoperability of their DOIs Ideally scholarly content like journals will cite related
data by the appropriate DataCite DOI and in return the data record will cite the
relevant articlersquos CrossRef DOI (from CrossRef Quarterly January 2012)
Bridging the gap
Relier llsquoarticle et les donneacutees sous-jacentes via les DOI
The dataset
Storz D et al (2009)
Planktic foraminiferal flux and faunal composition of sediment trap L1_K276 in the northeastern Atlantic
httpdxdoiorg101594PANGAEA724325
Is supplement to the article
Storz David Schulz Hartmut Waniek Joanna J Schulz-Bull Detlef Kucera Michal (2009) Seasonal and interannual variability of the planktic foraminiferal flux in the vicinity of the Azores Current
Deep-Sea Research Part I-Oceanographic Research Papers 56(1) 107-124
httpdxdoiorg101016jdsr200808009
Citation de donneacutees
Position lsquoofficiellersquo des eacutediteurs
27
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
PS 1389-3 PS 1390-3 PS 1431-1 PS 1640-1 PS 1648-1
Age (kyr) max 23355 ky r PS1389-3f f
00
1000
2000
0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100
54deg 0 54deg 0
54deg30 54deg30
55deg 0 55deg 0
55deg30 55deg30
11deg
11deg
12deg
12deg
13deg
13deg
14deg
14deg
15deg
15deg
World vector shore line
Grain size class KOLP A
Grain size class KOEHN2
Grain size class KOEHN
Geochemistry
Grain size class KOLP B
Grain size class KOLP DIN
20 m
Scale 12695194 at Latitude 0deg
Source Baltic Sea Research Institute Warnemuumlnde
bull Earth quake events =gt doi101594GFZGEOFONgfz2009kciu
bull Climate models =gt doi101594WDCCdphase_mpeps
bull Sea bed photos =gt doi101594PANGAEA757741
bull Videos =gt doi1032072959859860
bull Digitized ancient documents =gt doi1012763L401-06
bull Computational models =gt doi104225024E9F69C011BC8
bull Audio records =gt doi101594PANGAEA339110
bull Grey Literature =gt doi102314GBV489185967
bull Medical case studies =gt doi101594eaacinet2007CR5-270407
De quels types de donneacutees parlons-nous
Anything that is the foundation
of further research
is research data
Data is evidence
bull Dataset
bull Text
bull Collection
bull Event
bull Film
bull Audiovisual
bull Image
bull InteractiveResource
bull Model
bull PhysicalObject
bull Service
bull Software
bull Sound
bull Workflow
bull Other
Actuellement Dataset largement majoritaire gt Text gt Image gt Collection
dans MDS DataCite
Type de ressources DataCite
(proprieacuteteacute resourceTypeGeneral)
Services DataCite
bull DataCite Metadata Store (MDS) Creacuteation DOI et enregistrement des meacutetadonneacutees associeacutees
httpsmdsdataciteorg
bull DataCite Metadata Search
Recherche des meacutetadonneacutees associeacutees aux jeux de donneacutees enregistreacutees dans
DataCite httpsearchdataciteorg
bull DataCite OAI Provider
Exposition des meacutetadonneacutees de DataCite en OAI-PMH
httpoaidataciteorg
bull DataCite Statistics
Statistiques enregistrement DOI et reacutesolution DOI httpstatsdataciteorg
Services DataCite
bull DOI Citation Formatter En collaboration avec CrossRef ndash Creacuteation de diffeacuterents formats de citation pour
les DOI DataCite et CrossRef httpcrossciteorgciteproc
bull Content Negotiation Exposition des meacutetadonneacutees stockeacutees dans MDS en choisissant
parmi un large eacuteventail de formats Possibiliteacute drsquoacceacuteder
directement aux donneacutees gracircce agrave un type diffeacuterent de reacutesolution de DOI
httpdatadataciteorg
bull DataCite Metadata Schema Scheacutema de meacutetadonneacutees DataCite httpschemadataciteorg
bull DataCite Test Environment httptestdataciteorg
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Organisme recherche international CEA CNRS Institut Laue-Langevin ILL Datasets Donneacutees de la recherche X
Organisme recherche
Institut Franccedilais de Recherche pour
lExploitation de la Mer IFREMER Datasets Donneacutees de la recherche X
Editeur Organisme de Recherche
Office National dEtudes et de Recherches
Aeacuterospatiales ONERA Text Articles X
Structure feacutedeacuterative recherche Universiteacute CNRS IRD Observatoire Midi-Pyreacuteneacutees OMP Datasets Donneacutees de la recherche X
Organisme recherche Centre National de Recherche Scientifique CNRS Datasets Donneacutees de la recherche X
Universiteacute Universiteacute Lorraine UL Text Manuscrits anciens X
Universiteacute Universiteacute Nouvelle-Caleacutedonie UNC Text Thegraveses X
Universiteacute CNRS Maison Reneacute Ginouvegraves MAE Film Films X
Organisme recherche
Observatoire Mammifegraveres Echantillonneurs
Milieu Oceacuteanique MEMO Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche Institut Pierre-Simon Laplace IPSL Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche CNRS Archives donneacutees issues statistiques publiques ADISP Text Enquecirctes X
Organisme recherche Centre National de Recherche Scientifique CNRS Images Image Images
Organisme recherche
Institut National de la Santeacute et de la Recherche
Meacutedicale INSERM Datasets Cohortes
Enseignement Supeacuterieur et Recherche Ecole Normale Supeacuterieure Lyon ENS Text Articles dictionnaire
Editeur Cercle de Recherche et d Action Peacutedagogique CRAP Text Articles
Structure feacutedeacuterative Universiteacute CNRS Observatoire oceacuteanologique Villefranche OBS-VLFR Datasets Donneacutees de la recherche
Structure feacutedeacuterative Universiteacute CNRS IRD Observatoire oceacuteanologique Banyuls sur Mer OBS-BANYULS Datasets Donneacutees de la recherche
Editeur Editeur Nouveau Monde Text Articles
Structure feacutedeacuterative recherche Universiteacute CNRS INP
Grenoble Grenoble Images Parole Signal Automatique GIPSA-lab Text Articles Rapports
Organisme recherche Institut national de la Recherche Agronomique INRA Datasets Donneacutees de la recherche
Organisme international
Organisation des Nations Unies pour
lEducation la Science et la Culture UNESCO Datasets Service
Donneacutees de la recherche
Services
Organisme recherche Filiale CNES Collecte Localisation Satellites CLS Datasets Donneacutees de la recherche
Enseignement Supeacuterieur et Recherche Ecole Nationale Aviation Civile ENAC Event Text Actes colloque
Structure feacutedeacuterative recherche CEA CNRS Observatoire des Micro amp Nano Technologies OMNT Text Commentaires articles
Structure feacutedeacuterative recherche Universiteacute IRISA
Institut de Recherche en Informatique et
Systegravemes Aleacuteatoires IRISA Datasets Donneacutees de la recherche
Organisme recherche Centre National de Recherche Scientifique CNRS Text Articles
Universiteacute Universiteacute Pierre et Marie Curie UPMC Text Reacutesumeacutes livres
Universiteacute
Organisme recherche
Universiteacute Paris Diderot
Recherche Agronomique pour le Deacuteveloppement
Paris VII
CIRAD
Text Audiovisual
Datasets
Articles Videacuteos
Donneacutees de la recherche
Type organisme Nom organisme Acronyme Caracteacuteristique objet
Type objet (General
Resource
Type)
Centre donneacutees
creacuteeacute
Reacutepertoire drsquoarchives
de donneacutees
Initiatives lieacutees
bull Thomson-Reuters Data Citation Index
bull European Persistant Identifier Consortium (EPIC)
bull ODIN European project (ORCID and DataCite
Interoperability Network)
bull CODATAICSTI Working Group on Data Citation
bull FORCE 11 Amsterdam Manifesto
bull OpenAIREplus project
bull Research Data Alliance
Data Citation Index
bull Discovery of data most important to
scholarly research
bull Data linked to published research literature
bull Measures of data
citation use and reuse
bull New metrics for digital
scholarship
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
From KE workshop presentation The Hague June 2011 (N Paskin)
DataCite
bull Consortium international porteacute par des institutions locales
bull Centreacute sur la valorisation des jeux de donneacutees et autres
donneacutees non textuelles dans les services dlsquoinformation
bull Collaboration avec les centres de donneacutees et organismes
geacuterant des donneacutees
bull Fournit des standards workflows et bonnes pratiques
bull Initialement mais pas exclusivement baseacute sur le systegraveme DOI
bull Protocole dlsquoaccord Paris feacutevrier 2009
bull Creacuteeacute officiellement le 1er deacutecembre 2009 agrave Londres
Membres DataCite bull Technische Informationsbibliothek (TIB) Germany
bull Canada Institute for Scientific and Technical Information (CISTI)
bull California Digital Library USA
bull Purdue University USA bull Office of Scientific and Technical Information (OSTI) USA
bull The British Library
bull Technical Information Center
of Denmark (DTU)
bull Library of TU Delft The Netherlands
bull ZBMed Germany
bull ZBW Germany
bull GESIS Germany
bull Library of ETH Zuumlrich Switzerland bull Institut de lrsquoInformation Scientifique et Technique (INIST-CNRS) France
bull Swedish National Data Service (SND)
bull Australian National Data Service (ANDS) bull Conferenza dei Rettori delle Universitagrave Italiane (CRUI) bull Hungarian Academy of Science bull National Research Council of Thailand (NRCT) Affiliated members bull Digital Curation Center UK
bull Microsoft Research
bull Interuniversity Consortium for Political and Social Research (ICPSR) USA
bull Institute of Electrical and Electronics Engineers (IEEE) USA
bull Korea Institute of Science and Technology Information (KISTI)
bull Beijing Genomics Institute (BGI)
bull Harvard University Library USA
bull World Data System (WDS-ICSU)
Actuellement 26 membres
dont 8 membres affilieacutes
Structure DataCite
Fondation
Internationale DOI
DataCite
Institution membre
Data Centre Data Centre Centre donneacutees
Institution membre
Data Centre Data Centre Centre donneacutees
hellip Collaboration
Administrateur
geacuteneacuteral
(TIB)
Membre
Membre associeacute
DataCite ndash les diffeacuterents rocircles
Agence drsquoattribution de DOI
ndash Maintenance infrastructure
ndash Maintenance drsquoune base de meacutetadonneacutees interrogeable
ndash Gestion des identifiants agrave long terme
ndash Etablissement et partage de bonnes pratiques
Agences de donneacutees (centres de donneacutees institutions de
recherche producteurs de donneacutees bibliothegraveques)
ndash Assurance qualiteacute
ndash Stockage et accegraves au contenu
ndash Creacuteation des identifiants
ndash Creacuteation et mise agrave jour des meacutetadonneacutees
Bridging the gap
Publishers Data centres
DOIs in Use DataCite
CrossRef has registered more than 51 million DOIs on behalf of scholarly publishers
But CrossRef DOIs are not the only DOIs available in the scholarly community DOIs
for datasets associated with scholarly research are being registered by institutions in the DataCite network DataCite and CrossRef have committed to the
interoperability of their DOIs Ideally scholarly content like journals will cite related
data by the appropriate DataCite DOI and in return the data record will cite the
relevant articlersquos CrossRef DOI (from CrossRef Quarterly January 2012)
Bridging the gap
Relier llsquoarticle et les donneacutees sous-jacentes via les DOI
The dataset
Storz D et al (2009)
Planktic foraminiferal flux and faunal composition of sediment trap L1_K276 in the northeastern Atlantic
httpdxdoiorg101594PANGAEA724325
Is supplement to the article
Storz David Schulz Hartmut Waniek Joanna J Schulz-Bull Detlef Kucera Michal (2009) Seasonal and interannual variability of the planktic foraminiferal flux in the vicinity of the Azores Current
Deep-Sea Research Part I-Oceanographic Research Papers 56(1) 107-124
httpdxdoiorg101016jdsr200808009
Citation de donneacutees
Position lsquoofficiellersquo des eacutediteurs
27
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
PS 1389-3 PS 1390-3 PS 1431-1 PS 1640-1 PS 1648-1
Age (kyr) max 23355 ky r PS1389-3f f
00
1000
2000
0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100
54deg 0 54deg 0
54deg30 54deg30
55deg 0 55deg 0
55deg30 55deg30
11deg
11deg
12deg
12deg
13deg
13deg
14deg
14deg
15deg
15deg
World vector shore line
Grain size class KOLP A
Grain size class KOEHN2
Grain size class KOEHN
Geochemistry
Grain size class KOLP B
Grain size class KOLP DIN
20 m
Scale 12695194 at Latitude 0deg
Source Baltic Sea Research Institute Warnemuumlnde
bull Earth quake events =gt doi101594GFZGEOFONgfz2009kciu
bull Climate models =gt doi101594WDCCdphase_mpeps
bull Sea bed photos =gt doi101594PANGAEA757741
bull Videos =gt doi1032072959859860
bull Digitized ancient documents =gt doi1012763L401-06
bull Computational models =gt doi104225024E9F69C011BC8
bull Audio records =gt doi101594PANGAEA339110
bull Grey Literature =gt doi102314GBV489185967
bull Medical case studies =gt doi101594eaacinet2007CR5-270407
De quels types de donneacutees parlons-nous
Anything that is the foundation
of further research
is research data
Data is evidence
bull Dataset
bull Text
bull Collection
bull Event
bull Film
bull Audiovisual
bull Image
bull InteractiveResource
bull Model
bull PhysicalObject
bull Service
bull Software
bull Sound
bull Workflow
bull Other
Actuellement Dataset largement majoritaire gt Text gt Image gt Collection
dans MDS DataCite
Type de ressources DataCite
(proprieacuteteacute resourceTypeGeneral)
Services DataCite
bull DataCite Metadata Store (MDS) Creacuteation DOI et enregistrement des meacutetadonneacutees associeacutees
httpsmdsdataciteorg
bull DataCite Metadata Search
Recherche des meacutetadonneacutees associeacutees aux jeux de donneacutees enregistreacutees dans
DataCite httpsearchdataciteorg
bull DataCite OAI Provider
Exposition des meacutetadonneacutees de DataCite en OAI-PMH
httpoaidataciteorg
bull DataCite Statistics
Statistiques enregistrement DOI et reacutesolution DOI httpstatsdataciteorg
Services DataCite
bull DOI Citation Formatter En collaboration avec CrossRef ndash Creacuteation de diffeacuterents formats de citation pour
les DOI DataCite et CrossRef httpcrossciteorgciteproc
bull Content Negotiation Exposition des meacutetadonneacutees stockeacutees dans MDS en choisissant
parmi un large eacuteventail de formats Possibiliteacute drsquoacceacuteder
directement aux donneacutees gracircce agrave un type diffeacuterent de reacutesolution de DOI
httpdatadataciteorg
bull DataCite Metadata Schema Scheacutema de meacutetadonneacutees DataCite httpschemadataciteorg
bull DataCite Test Environment httptestdataciteorg
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Organisme recherche international CEA CNRS Institut Laue-Langevin ILL Datasets Donneacutees de la recherche X
Organisme recherche
Institut Franccedilais de Recherche pour
lExploitation de la Mer IFREMER Datasets Donneacutees de la recherche X
Editeur Organisme de Recherche
Office National dEtudes et de Recherches
Aeacuterospatiales ONERA Text Articles X
Structure feacutedeacuterative recherche Universiteacute CNRS IRD Observatoire Midi-Pyreacuteneacutees OMP Datasets Donneacutees de la recherche X
Organisme recherche Centre National de Recherche Scientifique CNRS Datasets Donneacutees de la recherche X
Universiteacute Universiteacute Lorraine UL Text Manuscrits anciens X
Universiteacute Universiteacute Nouvelle-Caleacutedonie UNC Text Thegraveses X
Universiteacute CNRS Maison Reneacute Ginouvegraves MAE Film Films X
Organisme recherche
Observatoire Mammifegraveres Echantillonneurs
Milieu Oceacuteanique MEMO Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche Institut Pierre-Simon Laplace IPSL Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche CNRS Archives donneacutees issues statistiques publiques ADISP Text Enquecirctes X
Organisme recherche Centre National de Recherche Scientifique CNRS Images Image Images
Organisme recherche
Institut National de la Santeacute et de la Recherche
Meacutedicale INSERM Datasets Cohortes
Enseignement Supeacuterieur et Recherche Ecole Normale Supeacuterieure Lyon ENS Text Articles dictionnaire
Editeur Cercle de Recherche et d Action Peacutedagogique CRAP Text Articles
Structure feacutedeacuterative Universiteacute CNRS Observatoire oceacuteanologique Villefranche OBS-VLFR Datasets Donneacutees de la recherche
Structure feacutedeacuterative Universiteacute CNRS IRD Observatoire oceacuteanologique Banyuls sur Mer OBS-BANYULS Datasets Donneacutees de la recherche
Editeur Editeur Nouveau Monde Text Articles
Structure feacutedeacuterative recherche Universiteacute CNRS INP
Grenoble Grenoble Images Parole Signal Automatique GIPSA-lab Text Articles Rapports
Organisme recherche Institut national de la Recherche Agronomique INRA Datasets Donneacutees de la recherche
Organisme international
Organisation des Nations Unies pour
lEducation la Science et la Culture UNESCO Datasets Service
Donneacutees de la recherche
Services
Organisme recherche Filiale CNES Collecte Localisation Satellites CLS Datasets Donneacutees de la recherche
Enseignement Supeacuterieur et Recherche Ecole Nationale Aviation Civile ENAC Event Text Actes colloque
Structure feacutedeacuterative recherche CEA CNRS Observatoire des Micro amp Nano Technologies OMNT Text Commentaires articles
Structure feacutedeacuterative recherche Universiteacute IRISA
Institut de Recherche en Informatique et
Systegravemes Aleacuteatoires IRISA Datasets Donneacutees de la recherche
Organisme recherche Centre National de Recherche Scientifique CNRS Text Articles
Universiteacute Universiteacute Pierre et Marie Curie UPMC Text Reacutesumeacutes livres
Universiteacute
Organisme recherche
Universiteacute Paris Diderot
Recherche Agronomique pour le Deacuteveloppement
Paris VII
CIRAD
Text Audiovisual
Datasets
Articles Videacuteos
Donneacutees de la recherche
Type organisme Nom organisme Acronyme Caracteacuteristique objet
Type objet (General
Resource
Type)
Centre donneacutees
creacuteeacute
Reacutepertoire drsquoarchives
de donneacutees
Initiatives lieacutees
bull Thomson-Reuters Data Citation Index
bull European Persistant Identifier Consortium (EPIC)
bull ODIN European project (ORCID and DataCite
Interoperability Network)
bull CODATAICSTI Working Group on Data Citation
bull FORCE 11 Amsterdam Manifesto
bull OpenAIREplus project
bull Research Data Alliance
Data Citation Index
bull Discovery of data most important to
scholarly research
bull Data linked to published research literature
bull Measures of data
citation use and reuse
bull New metrics for digital
scholarship
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
DataCite
bull Consortium international porteacute par des institutions locales
bull Centreacute sur la valorisation des jeux de donneacutees et autres
donneacutees non textuelles dans les services dlsquoinformation
bull Collaboration avec les centres de donneacutees et organismes
geacuterant des donneacutees
bull Fournit des standards workflows et bonnes pratiques
bull Initialement mais pas exclusivement baseacute sur le systegraveme DOI
bull Protocole dlsquoaccord Paris feacutevrier 2009
bull Creacuteeacute officiellement le 1er deacutecembre 2009 agrave Londres
Membres DataCite bull Technische Informationsbibliothek (TIB) Germany
bull Canada Institute for Scientific and Technical Information (CISTI)
bull California Digital Library USA
bull Purdue University USA bull Office of Scientific and Technical Information (OSTI) USA
bull The British Library
bull Technical Information Center
of Denmark (DTU)
bull Library of TU Delft The Netherlands
bull ZBMed Germany
bull ZBW Germany
bull GESIS Germany
bull Library of ETH Zuumlrich Switzerland bull Institut de lrsquoInformation Scientifique et Technique (INIST-CNRS) France
bull Swedish National Data Service (SND)
bull Australian National Data Service (ANDS) bull Conferenza dei Rettori delle Universitagrave Italiane (CRUI) bull Hungarian Academy of Science bull National Research Council of Thailand (NRCT) Affiliated members bull Digital Curation Center UK
bull Microsoft Research
bull Interuniversity Consortium for Political and Social Research (ICPSR) USA
bull Institute of Electrical and Electronics Engineers (IEEE) USA
bull Korea Institute of Science and Technology Information (KISTI)
bull Beijing Genomics Institute (BGI)
bull Harvard University Library USA
bull World Data System (WDS-ICSU)
Actuellement 26 membres
dont 8 membres affilieacutes
Structure DataCite
Fondation
Internationale DOI
DataCite
Institution membre
Data Centre Data Centre Centre donneacutees
Institution membre
Data Centre Data Centre Centre donneacutees
hellip Collaboration
Administrateur
geacuteneacuteral
(TIB)
Membre
Membre associeacute
DataCite ndash les diffeacuterents rocircles
Agence drsquoattribution de DOI
ndash Maintenance infrastructure
ndash Maintenance drsquoune base de meacutetadonneacutees interrogeable
ndash Gestion des identifiants agrave long terme
ndash Etablissement et partage de bonnes pratiques
Agences de donneacutees (centres de donneacutees institutions de
recherche producteurs de donneacutees bibliothegraveques)
ndash Assurance qualiteacute
ndash Stockage et accegraves au contenu
ndash Creacuteation des identifiants
ndash Creacuteation et mise agrave jour des meacutetadonneacutees
Bridging the gap
Publishers Data centres
DOIs in Use DataCite
CrossRef has registered more than 51 million DOIs on behalf of scholarly publishers
But CrossRef DOIs are not the only DOIs available in the scholarly community DOIs
for datasets associated with scholarly research are being registered by institutions in the DataCite network DataCite and CrossRef have committed to the
interoperability of their DOIs Ideally scholarly content like journals will cite related
data by the appropriate DataCite DOI and in return the data record will cite the
relevant articlersquos CrossRef DOI (from CrossRef Quarterly January 2012)
Bridging the gap
Relier llsquoarticle et les donneacutees sous-jacentes via les DOI
The dataset
Storz D et al (2009)
Planktic foraminiferal flux and faunal composition of sediment trap L1_K276 in the northeastern Atlantic
httpdxdoiorg101594PANGAEA724325
Is supplement to the article
Storz David Schulz Hartmut Waniek Joanna J Schulz-Bull Detlef Kucera Michal (2009) Seasonal and interannual variability of the planktic foraminiferal flux in the vicinity of the Azores Current
Deep-Sea Research Part I-Oceanographic Research Papers 56(1) 107-124
httpdxdoiorg101016jdsr200808009
Citation de donneacutees
Position lsquoofficiellersquo des eacutediteurs
27
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
PS 1389-3 PS 1390-3 PS 1431-1 PS 1640-1 PS 1648-1
Age (kyr) max 23355 ky r PS1389-3f f
00
1000
2000
0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100
54deg 0 54deg 0
54deg30 54deg30
55deg 0 55deg 0
55deg30 55deg30
11deg
11deg
12deg
12deg
13deg
13deg
14deg
14deg
15deg
15deg
World vector shore line
Grain size class KOLP A
Grain size class KOEHN2
Grain size class KOEHN
Geochemistry
Grain size class KOLP B
Grain size class KOLP DIN
20 m
Scale 12695194 at Latitude 0deg
Source Baltic Sea Research Institute Warnemuumlnde
bull Earth quake events =gt doi101594GFZGEOFONgfz2009kciu
bull Climate models =gt doi101594WDCCdphase_mpeps
bull Sea bed photos =gt doi101594PANGAEA757741
bull Videos =gt doi1032072959859860
bull Digitized ancient documents =gt doi1012763L401-06
bull Computational models =gt doi104225024E9F69C011BC8
bull Audio records =gt doi101594PANGAEA339110
bull Grey Literature =gt doi102314GBV489185967
bull Medical case studies =gt doi101594eaacinet2007CR5-270407
De quels types de donneacutees parlons-nous
Anything that is the foundation
of further research
is research data
Data is evidence
bull Dataset
bull Text
bull Collection
bull Event
bull Film
bull Audiovisual
bull Image
bull InteractiveResource
bull Model
bull PhysicalObject
bull Service
bull Software
bull Sound
bull Workflow
bull Other
Actuellement Dataset largement majoritaire gt Text gt Image gt Collection
dans MDS DataCite
Type de ressources DataCite
(proprieacuteteacute resourceTypeGeneral)
Services DataCite
bull DataCite Metadata Store (MDS) Creacuteation DOI et enregistrement des meacutetadonneacutees associeacutees
httpsmdsdataciteorg
bull DataCite Metadata Search
Recherche des meacutetadonneacutees associeacutees aux jeux de donneacutees enregistreacutees dans
DataCite httpsearchdataciteorg
bull DataCite OAI Provider
Exposition des meacutetadonneacutees de DataCite en OAI-PMH
httpoaidataciteorg
bull DataCite Statistics
Statistiques enregistrement DOI et reacutesolution DOI httpstatsdataciteorg
Services DataCite
bull DOI Citation Formatter En collaboration avec CrossRef ndash Creacuteation de diffeacuterents formats de citation pour
les DOI DataCite et CrossRef httpcrossciteorgciteproc
bull Content Negotiation Exposition des meacutetadonneacutees stockeacutees dans MDS en choisissant
parmi un large eacuteventail de formats Possibiliteacute drsquoacceacuteder
directement aux donneacutees gracircce agrave un type diffeacuterent de reacutesolution de DOI
httpdatadataciteorg
bull DataCite Metadata Schema Scheacutema de meacutetadonneacutees DataCite httpschemadataciteorg
bull DataCite Test Environment httptestdataciteorg
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Organisme recherche international CEA CNRS Institut Laue-Langevin ILL Datasets Donneacutees de la recherche X
Organisme recherche
Institut Franccedilais de Recherche pour
lExploitation de la Mer IFREMER Datasets Donneacutees de la recherche X
Editeur Organisme de Recherche
Office National dEtudes et de Recherches
Aeacuterospatiales ONERA Text Articles X
Structure feacutedeacuterative recherche Universiteacute CNRS IRD Observatoire Midi-Pyreacuteneacutees OMP Datasets Donneacutees de la recherche X
Organisme recherche Centre National de Recherche Scientifique CNRS Datasets Donneacutees de la recherche X
Universiteacute Universiteacute Lorraine UL Text Manuscrits anciens X
Universiteacute Universiteacute Nouvelle-Caleacutedonie UNC Text Thegraveses X
Universiteacute CNRS Maison Reneacute Ginouvegraves MAE Film Films X
Organisme recherche
Observatoire Mammifegraveres Echantillonneurs
Milieu Oceacuteanique MEMO Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche Institut Pierre-Simon Laplace IPSL Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche CNRS Archives donneacutees issues statistiques publiques ADISP Text Enquecirctes X
Organisme recherche Centre National de Recherche Scientifique CNRS Images Image Images
Organisme recherche
Institut National de la Santeacute et de la Recherche
Meacutedicale INSERM Datasets Cohortes
Enseignement Supeacuterieur et Recherche Ecole Normale Supeacuterieure Lyon ENS Text Articles dictionnaire
Editeur Cercle de Recherche et d Action Peacutedagogique CRAP Text Articles
Structure feacutedeacuterative Universiteacute CNRS Observatoire oceacuteanologique Villefranche OBS-VLFR Datasets Donneacutees de la recherche
Structure feacutedeacuterative Universiteacute CNRS IRD Observatoire oceacuteanologique Banyuls sur Mer OBS-BANYULS Datasets Donneacutees de la recherche
Editeur Editeur Nouveau Monde Text Articles
Structure feacutedeacuterative recherche Universiteacute CNRS INP
Grenoble Grenoble Images Parole Signal Automatique GIPSA-lab Text Articles Rapports
Organisme recherche Institut national de la Recherche Agronomique INRA Datasets Donneacutees de la recherche
Organisme international
Organisation des Nations Unies pour
lEducation la Science et la Culture UNESCO Datasets Service
Donneacutees de la recherche
Services
Organisme recherche Filiale CNES Collecte Localisation Satellites CLS Datasets Donneacutees de la recherche
Enseignement Supeacuterieur et Recherche Ecole Nationale Aviation Civile ENAC Event Text Actes colloque
Structure feacutedeacuterative recherche CEA CNRS Observatoire des Micro amp Nano Technologies OMNT Text Commentaires articles
Structure feacutedeacuterative recherche Universiteacute IRISA
Institut de Recherche en Informatique et
Systegravemes Aleacuteatoires IRISA Datasets Donneacutees de la recherche
Organisme recherche Centre National de Recherche Scientifique CNRS Text Articles
Universiteacute Universiteacute Pierre et Marie Curie UPMC Text Reacutesumeacutes livres
Universiteacute
Organisme recherche
Universiteacute Paris Diderot
Recherche Agronomique pour le Deacuteveloppement
Paris VII
CIRAD
Text Audiovisual
Datasets
Articles Videacuteos
Donneacutees de la recherche
Type organisme Nom organisme Acronyme Caracteacuteristique objet
Type objet (General
Resource
Type)
Centre donneacutees
creacuteeacute
Reacutepertoire drsquoarchives
de donneacutees
Initiatives lieacutees
bull Thomson-Reuters Data Citation Index
bull European Persistant Identifier Consortium (EPIC)
bull ODIN European project (ORCID and DataCite
Interoperability Network)
bull CODATAICSTI Working Group on Data Citation
bull FORCE 11 Amsterdam Manifesto
bull OpenAIREplus project
bull Research Data Alliance
Data Citation Index
bull Discovery of data most important to
scholarly research
bull Data linked to published research literature
bull Measures of data
citation use and reuse
bull New metrics for digital
scholarship
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
Membres DataCite bull Technische Informationsbibliothek (TIB) Germany
bull Canada Institute for Scientific and Technical Information (CISTI)
bull California Digital Library USA
bull Purdue University USA bull Office of Scientific and Technical Information (OSTI) USA
bull The British Library
bull Technical Information Center
of Denmark (DTU)
bull Library of TU Delft The Netherlands
bull ZBMed Germany
bull ZBW Germany
bull GESIS Germany
bull Library of ETH Zuumlrich Switzerland bull Institut de lrsquoInformation Scientifique et Technique (INIST-CNRS) France
bull Swedish National Data Service (SND)
bull Australian National Data Service (ANDS) bull Conferenza dei Rettori delle Universitagrave Italiane (CRUI) bull Hungarian Academy of Science bull National Research Council of Thailand (NRCT) Affiliated members bull Digital Curation Center UK
bull Microsoft Research
bull Interuniversity Consortium for Political and Social Research (ICPSR) USA
bull Institute of Electrical and Electronics Engineers (IEEE) USA
bull Korea Institute of Science and Technology Information (KISTI)
bull Beijing Genomics Institute (BGI)
bull Harvard University Library USA
bull World Data System (WDS-ICSU)
Actuellement 26 membres
dont 8 membres affilieacutes
Structure DataCite
Fondation
Internationale DOI
DataCite
Institution membre
Data Centre Data Centre Centre donneacutees
Institution membre
Data Centre Data Centre Centre donneacutees
hellip Collaboration
Administrateur
geacuteneacuteral
(TIB)
Membre
Membre associeacute
DataCite ndash les diffeacuterents rocircles
Agence drsquoattribution de DOI
ndash Maintenance infrastructure
ndash Maintenance drsquoune base de meacutetadonneacutees interrogeable
ndash Gestion des identifiants agrave long terme
ndash Etablissement et partage de bonnes pratiques
Agences de donneacutees (centres de donneacutees institutions de
recherche producteurs de donneacutees bibliothegraveques)
ndash Assurance qualiteacute
ndash Stockage et accegraves au contenu
ndash Creacuteation des identifiants
ndash Creacuteation et mise agrave jour des meacutetadonneacutees
Bridging the gap
Publishers Data centres
DOIs in Use DataCite
CrossRef has registered more than 51 million DOIs on behalf of scholarly publishers
But CrossRef DOIs are not the only DOIs available in the scholarly community DOIs
for datasets associated with scholarly research are being registered by institutions in the DataCite network DataCite and CrossRef have committed to the
interoperability of their DOIs Ideally scholarly content like journals will cite related
data by the appropriate DataCite DOI and in return the data record will cite the
relevant articlersquos CrossRef DOI (from CrossRef Quarterly January 2012)
Bridging the gap
Relier llsquoarticle et les donneacutees sous-jacentes via les DOI
The dataset
Storz D et al (2009)
Planktic foraminiferal flux and faunal composition of sediment trap L1_K276 in the northeastern Atlantic
httpdxdoiorg101594PANGAEA724325
Is supplement to the article
Storz David Schulz Hartmut Waniek Joanna J Schulz-Bull Detlef Kucera Michal (2009) Seasonal and interannual variability of the planktic foraminiferal flux in the vicinity of the Azores Current
Deep-Sea Research Part I-Oceanographic Research Papers 56(1) 107-124
httpdxdoiorg101016jdsr200808009
Citation de donneacutees
Position lsquoofficiellersquo des eacutediteurs
27
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
PS 1389-3 PS 1390-3 PS 1431-1 PS 1640-1 PS 1648-1
Age (kyr) max 23355 ky r PS1389-3f f
00
1000
2000
0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100
54deg 0 54deg 0
54deg30 54deg30
55deg 0 55deg 0
55deg30 55deg30
11deg
11deg
12deg
12deg
13deg
13deg
14deg
14deg
15deg
15deg
World vector shore line
Grain size class KOLP A
Grain size class KOEHN2
Grain size class KOEHN
Geochemistry
Grain size class KOLP B
Grain size class KOLP DIN
20 m
Scale 12695194 at Latitude 0deg
Source Baltic Sea Research Institute Warnemuumlnde
bull Earth quake events =gt doi101594GFZGEOFONgfz2009kciu
bull Climate models =gt doi101594WDCCdphase_mpeps
bull Sea bed photos =gt doi101594PANGAEA757741
bull Videos =gt doi1032072959859860
bull Digitized ancient documents =gt doi1012763L401-06
bull Computational models =gt doi104225024E9F69C011BC8
bull Audio records =gt doi101594PANGAEA339110
bull Grey Literature =gt doi102314GBV489185967
bull Medical case studies =gt doi101594eaacinet2007CR5-270407
De quels types de donneacutees parlons-nous
Anything that is the foundation
of further research
is research data
Data is evidence
bull Dataset
bull Text
bull Collection
bull Event
bull Film
bull Audiovisual
bull Image
bull InteractiveResource
bull Model
bull PhysicalObject
bull Service
bull Software
bull Sound
bull Workflow
bull Other
Actuellement Dataset largement majoritaire gt Text gt Image gt Collection
dans MDS DataCite
Type de ressources DataCite
(proprieacuteteacute resourceTypeGeneral)
Services DataCite
bull DataCite Metadata Store (MDS) Creacuteation DOI et enregistrement des meacutetadonneacutees associeacutees
httpsmdsdataciteorg
bull DataCite Metadata Search
Recherche des meacutetadonneacutees associeacutees aux jeux de donneacutees enregistreacutees dans
DataCite httpsearchdataciteorg
bull DataCite OAI Provider
Exposition des meacutetadonneacutees de DataCite en OAI-PMH
httpoaidataciteorg
bull DataCite Statistics
Statistiques enregistrement DOI et reacutesolution DOI httpstatsdataciteorg
Services DataCite
bull DOI Citation Formatter En collaboration avec CrossRef ndash Creacuteation de diffeacuterents formats de citation pour
les DOI DataCite et CrossRef httpcrossciteorgciteproc
bull Content Negotiation Exposition des meacutetadonneacutees stockeacutees dans MDS en choisissant
parmi un large eacuteventail de formats Possibiliteacute drsquoacceacuteder
directement aux donneacutees gracircce agrave un type diffeacuterent de reacutesolution de DOI
httpdatadataciteorg
bull DataCite Metadata Schema Scheacutema de meacutetadonneacutees DataCite httpschemadataciteorg
bull DataCite Test Environment httptestdataciteorg
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Organisme recherche international CEA CNRS Institut Laue-Langevin ILL Datasets Donneacutees de la recherche X
Organisme recherche
Institut Franccedilais de Recherche pour
lExploitation de la Mer IFREMER Datasets Donneacutees de la recherche X
Editeur Organisme de Recherche
Office National dEtudes et de Recherches
Aeacuterospatiales ONERA Text Articles X
Structure feacutedeacuterative recherche Universiteacute CNRS IRD Observatoire Midi-Pyreacuteneacutees OMP Datasets Donneacutees de la recherche X
Organisme recherche Centre National de Recherche Scientifique CNRS Datasets Donneacutees de la recherche X
Universiteacute Universiteacute Lorraine UL Text Manuscrits anciens X
Universiteacute Universiteacute Nouvelle-Caleacutedonie UNC Text Thegraveses X
Universiteacute CNRS Maison Reneacute Ginouvegraves MAE Film Films X
Organisme recherche
Observatoire Mammifegraveres Echantillonneurs
Milieu Oceacuteanique MEMO Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche Institut Pierre-Simon Laplace IPSL Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche CNRS Archives donneacutees issues statistiques publiques ADISP Text Enquecirctes X
Organisme recherche Centre National de Recherche Scientifique CNRS Images Image Images
Organisme recherche
Institut National de la Santeacute et de la Recherche
Meacutedicale INSERM Datasets Cohortes
Enseignement Supeacuterieur et Recherche Ecole Normale Supeacuterieure Lyon ENS Text Articles dictionnaire
Editeur Cercle de Recherche et d Action Peacutedagogique CRAP Text Articles
Structure feacutedeacuterative Universiteacute CNRS Observatoire oceacuteanologique Villefranche OBS-VLFR Datasets Donneacutees de la recherche
Structure feacutedeacuterative Universiteacute CNRS IRD Observatoire oceacuteanologique Banyuls sur Mer OBS-BANYULS Datasets Donneacutees de la recherche
Editeur Editeur Nouveau Monde Text Articles
Structure feacutedeacuterative recherche Universiteacute CNRS INP
Grenoble Grenoble Images Parole Signal Automatique GIPSA-lab Text Articles Rapports
Organisme recherche Institut national de la Recherche Agronomique INRA Datasets Donneacutees de la recherche
Organisme international
Organisation des Nations Unies pour
lEducation la Science et la Culture UNESCO Datasets Service
Donneacutees de la recherche
Services
Organisme recherche Filiale CNES Collecte Localisation Satellites CLS Datasets Donneacutees de la recherche
Enseignement Supeacuterieur et Recherche Ecole Nationale Aviation Civile ENAC Event Text Actes colloque
Structure feacutedeacuterative recherche CEA CNRS Observatoire des Micro amp Nano Technologies OMNT Text Commentaires articles
Structure feacutedeacuterative recherche Universiteacute IRISA
Institut de Recherche en Informatique et
Systegravemes Aleacuteatoires IRISA Datasets Donneacutees de la recherche
Organisme recherche Centre National de Recherche Scientifique CNRS Text Articles
Universiteacute Universiteacute Pierre et Marie Curie UPMC Text Reacutesumeacutes livres
Universiteacute
Organisme recherche
Universiteacute Paris Diderot
Recherche Agronomique pour le Deacuteveloppement
Paris VII
CIRAD
Text Audiovisual
Datasets
Articles Videacuteos
Donneacutees de la recherche
Type organisme Nom organisme Acronyme Caracteacuteristique objet
Type objet (General
Resource
Type)
Centre donneacutees
creacuteeacute
Reacutepertoire drsquoarchives
de donneacutees
Initiatives lieacutees
bull Thomson-Reuters Data Citation Index
bull European Persistant Identifier Consortium (EPIC)
bull ODIN European project (ORCID and DataCite
Interoperability Network)
bull CODATAICSTI Working Group on Data Citation
bull FORCE 11 Amsterdam Manifesto
bull OpenAIREplus project
bull Research Data Alliance
Data Citation Index
bull Discovery of data most important to
scholarly research
bull Data linked to published research literature
bull Measures of data
citation use and reuse
bull New metrics for digital
scholarship
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
Structure DataCite
Fondation
Internationale DOI
DataCite
Institution membre
Data Centre Data Centre Centre donneacutees
Institution membre
Data Centre Data Centre Centre donneacutees
hellip Collaboration
Administrateur
geacuteneacuteral
(TIB)
Membre
Membre associeacute
DataCite ndash les diffeacuterents rocircles
Agence drsquoattribution de DOI
ndash Maintenance infrastructure
ndash Maintenance drsquoune base de meacutetadonneacutees interrogeable
ndash Gestion des identifiants agrave long terme
ndash Etablissement et partage de bonnes pratiques
Agences de donneacutees (centres de donneacutees institutions de
recherche producteurs de donneacutees bibliothegraveques)
ndash Assurance qualiteacute
ndash Stockage et accegraves au contenu
ndash Creacuteation des identifiants
ndash Creacuteation et mise agrave jour des meacutetadonneacutees
Bridging the gap
Publishers Data centres
DOIs in Use DataCite
CrossRef has registered more than 51 million DOIs on behalf of scholarly publishers
But CrossRef DOIs are not the only DOIs available in the scholarly community DOIs
for datasets associated with scholarly research are being registered by institutions in the DataCite network DataCite and CrossRef have committed to the
interoperability of their DOIs Ideally scholarly content like journals will cite related
data by the appropriate DataCite DOI and in return the data record will cite the
relevant articlersquos CrossRef DOI (from CrossRef Quarterly January 2012)
Bridging the gap
Relier llsquoarticle et les donneacutees sous-jacentes via les DOI
The dataset
Storz D et al (2009)
Planktic foraminiferal flux and faunal composition of sediment trap L1_K276 in the northeastern Atlantic
httpdxdoiorg101594PANGAEA724325
Is supplement to the article
Storz David Schulz Hartmut Waniek Joanna J Schulz-Bull Detlef Kucera Michal (2009) Seasonal and interannual variability of the planktic foraminiferal flux in the vicinity of the Azores Current
Deep-Sea Research Part I-Oceanographic Research Papers 56(1) 107-124
httpdxdoiorg101016jdsr200808009
Citation de donneacutees
Position lsquoofficiellersquo des eacutediteurs
27
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
PS 1389-3 PS 1390-3 PS 1431-1 PS 1640-1 PS 1648-1
Age (kyr) max 23355 ky r PS1389-3f f
00
1000
2000
0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100
54deg 0 54deg 0
54deg30 54deg30
55deg 0 55deg 0
55deg30 55deg30
11deg
11deg
12deg
12deg
13deg
13deg
14deg
14deg
15deg
15deg
World vector shore line
Grain size class KOLP A
Grain size class KOEHN2
Grain size class KOEHN
Geochemistry
Grain size class KOLP B
Grain size class KOLP DIN
20 m
Scale 12695194 at Latitude 0deg
Source Baltic Sea Research Institute Warnemuumlnde
bull Earth quake events =gt doi101594GFZGEOFONgfz2009kciu
bull Climate models =gt doi101594WDCCdphase_mpeps
bull Sea bed photos =gt doi101594PANGAEA757741
bull Videos =gt doi1032072959859860
bull Digitized ancient documents =gt doi1012763L401-06
bull Computational models =gt doi104225024E9F69C011BC8
bull Audio records =gt doi101594PANGAEA339110
bull Grey Literature =gt doi102314GBV489185967
bull Medical case studies =gt doi101594eaacinet2007CR5-270407
De quels types de donneacutees parlons-nous
Anything that is the foundation
of further research
is research data
Data is evidence
bull Dataset
bull Text
bull Collection
bull Event
bull Film
bull Audiovisual
bull Image
bull InteractiveResource
bull Model
bull PhysicalObject
bull Service
bull Software
bull Sound
bull Workflow
bull Other
Actuellement Dataset largement majoritaire gt Text gt Image gt Collection
dans MDS DataCite
Type de ressources DataCite
(proprieacuteteacute resourceTypeGeneral)
Services DataCite
bull DataCite Metadata Store (MDS) Creacuteation DOI et enregistrement des meacutetadonneacutees associeacutees
httpsmdsdataciteorg
bull DataCite Metadata Search
Recherche des meacutetadonneacutees associeacutees aux jeux de donneacutees enregistreacutees dans
DataCite httpsearchdataciteorg
bull DataCite OAI Provider
Exposition des meacutetadonneacutees de DataCite en OAI-PMH
httpoaidataciteorg
bull DataCite Statistics
Statistiques enregistrement DOI et reacutesolution DOI httpstatsdataciteorg
Services DataCite
bull DOI Citation Formatter En collaboration avec CrossRef ndash Creacuteation de diffeacuterents formats de citation pour
les DOI DataCite et CrossRef httpcrossciteorgciteproc
bull Content Negotiation Exposition des meacutetadonneacutees stockeacutees dans MDS en choisissant
parmi un large eacuteventail de formats Possibiliteacute drsquoacceacuteder
directement aux donneacutees gracircce agrave un type diffeacuterent de reacutesolution de DOI
httpdatadataciteorg
bull DataCite Metadata Schema Scheacutema de meacutetadonneacutees DataCite httpschemadataciteorg
bull DataCite Test Environment httptestdataciteorg
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Organisme recherche international CEA CNRS Institut Laue-Langevin ILL Datasets Donneacutees de la recherche X
Organisme recherche
Institut Franccedilais de Recherche pour
lExploitation de la Mer IFREMER Datasets Donneacutees de la recherche X
Editeur Organisme de Recherche
Office National dEtudes et de Recherches
Aeacuterospatiales ONERA Text Articles X
Structure feacutedeacuterative recherche Universiteacute CNRS IRD Observatoire Midi-Pyreacuteneacutees OMP Datasets Donneacutees de la recherche X
Organisme recherche Centre National de Recherche Scientifique CNRS Datasets Donneacutees de la recherche X
Universiteacute Universiteacute Lorraine UL Text Manuscrits anciens X
Universiteacute Universiteacute Nouvelle-Caleacutedonie UNC Text Thegraveses X
Universiteacute CNRS Maison Reneacute Ginouvegraves MAE Film Films X
Organisme recherche
Observatoire Mammifegraveres Echantillonneurs
Milieu Oceacuteanique MEMO Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche Institut Pierre-Simon Laplace IPSL Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche CNRS Archives donneacutees issues statistiques publiques ADISP Text Enquecirctes X
Organisme recherche Centre National de Recherche Scientifique CNRS Images Image Images
Organisme recherche
Institut National de la Santeacute et de la Recherche
Meacutedicale INSERM Datasets Cohortes
Enseignement Supeacuterieur et Recherche Ecole Normale Supeacuterieure Lyon ENS Text Articles dictionnaire
Editeur Cercle de Recherche et d Action Peacutedagogique CRAP Text Articles
Structure feacutedeacuterative Universiteacute CNRS Observatoire oceacuteanologique Villefranche OBS-VLFR Datasets Donneacutees de la recherche
Structure feacutedeacuterative Universiteacute CNRS IRD Observatoire oceacuteanologique Banyuls sur Mer OBS-BANYULS Datasets Donneacutees de la recherche
Editeur Editeur Nouveau Monde Text Articles
Structure feacutedeacuterative recherche Universiteacute CNRS INP
Grenoble Grenoble Images Parole Signal Automatique GIPSA-lab Text Articles Rapports
Organisme recherche Institut national de la Recherche Agronomique INRA Datasets Donneacutees de la recherche
Organisme international
Organisation des Nations Unies pour
lEducation la Science et la Culture UNESCO Datasets Service
Donneacutees de la recherche
Services
Organisme recherche Filiale CNES Collecte Localisation Satellites CLS Datasets Donneacutees de la recherche
Enseignement Supeacuterieur et Recherche Ecole Nationale Aviation Civile ENAC Event Text Actes colloque
Structure feacutedeacuterative recherche CEA CNRS Observatoire des Micro amp Nano Technologies OMNT Text Commentaires articles
Structure feacutedeacuterative recherche Universiteacute IRISA
Institut de Recherche en Informatique et
Systegravemes Aleacuteatoires IRISA Datasets Donneacutees de la recherche
Organisme recherche Centre National de Recherche Scientifique CNRS Text Articles
Universiteacute Universiteacute Pierre et Marie Curie UPMC Text Reacutesumeacutes livres
Universiteacute
Organisme recherche
Universiteacute Paris Diderot
Recherche Agronomique pour le Deacuteveloppement
Paris VII
CIRAD
Text Audiovisual
Datasets
Articles Videacuteos
Donneacutees de la recherche
Type organisme Nom organisme Acronyme Caracteacuteristique objet
Type objet (General
Resource
Type)
Centre donneacutees
creacuteeacute
Reacutepertoire drsquoarchives
de donneacutees
Initiatives lieacutees
bull Thomson-Reuters Data Citation Index
bull European Persistant Identifier Consortium (EPIC)
bull ODIN European project (ORCID and DataCite
Interoperability Network)
bull CODATAICSTI Working Group on Data Citation
bull FORCE 11 Amsterdam Manifesto
bull OpenAIREplus project
bull Research Data Alliance
Data Citation Index
bull Discovery of data most important to
scholarly research
bull Data linked to published research literature
bull Measures of data
citation use and reuse
bull New metrics for digital
scholarship
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
DataCite ndash les diffeacuterents rocircles
Agence drsquoattribution de DOI
ndash Maintenance infrastructure
ndash Maintenance drsquoune base de meacutetadonneacutees interrogeable
ndash Gestion des identifiants agrave long terme
ndash Etablissement et partage de bonnes pratiques
Agences de donneacutees (centres de donneacutees institutions de
recherche producteurs de donneacutees bibliothegraveques)
ndash Assurance qualiteacute
ndash Stockage et accegraves au contenu
ndash Creacuteation des identifiants
ndash Creacuteation et mise agrave jour des meacutetadonneacutees
Bridging the gap
Publishers Data centres
DOIs in Use DataCite
CrossRef has registered more than 51 million DOIs on behalf of scholarly publishers
But CrossRef DOIs are not the only DOIs available in the scholarly community DOIs
for datasets associated with scholarly research are being registered by institutions in the DataCite network DataCite and CrossRef have committed to the
interoperability of their DOIs Ideally scholarly content like journals will cite related
data by the appropriate DataCite DOI and in return the data record will cite the
relevant articlersquos CrossRef DOI (from CrossRef Quarterly January 2012)
Bridging the gap
Relier llsquoarticle et les donneacutees sous-jacentes via les DOI
The dataset
Storz D et al (2009)
Planktic foraminiferal flux and faunal composition of sediment trap L1_K276 in the northeastern Atlantic
httpdxdoiorg101594PANGAEA724325
Is supplement to the article
Storz David Schulz Hartmut Waniek Joanna J Schulz-Bull Detlef Kucera Michal (2009) Seasonal and interannual variability of the planktic foraminiferal flux in the vicinity of the Azores Current
Deep-Sea Research Part I-Oceanographic Research Papers 56(1) 107-124
httpdxdoiorg101016jdsr200808009
Citation de donneacutees
Position lsquoofficiellersquo des eacutediteurs
27
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
PS 1389-3 PS 1390-3 PS 1431-1 PS 1640-1 PS 1648-1
Age (kyr) max 23355 ky r PS1389-3f f
00
1000
2000
0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100
54deg 0 54deg 0
54deg30 54deg30
55deg 0 55deg 0
55deg30 55deg30
11deg
11deg
12deg
12deg
13deg
13deg
14deg
14deg
15deg
15deg
World vector shore line
Grain size class KOLP A
Grain size class KOEHN2
Grain size class KOEHN
Geochemistry
Grain size class KOLP B
Grain size class KOLP DIN
20 m
Scale 12695194 at Latitude 0deg
Source Baltic Sea Research Institute Warnemuumlnde
bull Earth quake events =gt doi101594GFZGEOFONgfz2009kciu
bull Climate models =gt doi101594WDCCdphase_mpeps
bull Sea bed photos =gt doi101594PANGAEA757741
bull Videos =gt doi1032072959859860
bull Digitized ancient documents =gt doi1012763L401-06
bull Computational models =gt doi104225024E9F69C011BC8
bull Audio records =gt doi101594PANGAEA339110
bull Grey Literature =gt doi102314GBV489185967
bull Medical case studies =gt doi101594eaacinet2007CR5-270407
De quels types de donneacutees parlons-nous
Anything that is the foundation
of further research
is research data
Data is evidence
bull Dataset
bull Text
bull Collection
bull Event
bull Film
bull Audiovisual
bull Image
bull InteractiveResource
bull Model
bull PhysicalObject
bull Service
bull Software
bull Sound
bull Workflow
bull Other
Actuellement Dataset largement majoritaire gt Text gt Image gt Collection
dans MDS DataCite
Type de ressources DataCite
(proprieacuteteacute resourceTypeGeneral)
Services DataCite
bull DataCite Metadata Store (MDS) Creacuteation DOI et enregistrement des meacutetadonneacutees associeacutees
httpsmdsdataciteorg
bull DataCite Metadata Search
Recherche des meacutetadonneacutees associeacutees aux jeux de donneacutees enregistreacutees dans
DataCite httpsearchdataciteorg
bull DataCite OAI Provider
Exposition des meacutetadonneacutees de DataCite en OAI-PMH
httpoaidataciteorg
bull DataCite Statistics
Statistiques enregistrement DOI et reacutesolution DOI httpstatsdataciteorg
Services DataCite
bull DOI Citation Formatter En collaboration avec CrossRef ndash Creacuteation de diffeacuterents formats de citation pour
les DOI DataCite et CrossRef httpcrossciteorgciteproc
bull Content Negotiation Exposition des meacutetadonneacutees stockeacutees dans MDS en choisissant
parmi un large eacuteventail de formats Possibiliteacute drsquoacceacuteder
directement aux donneacutees gracircce agrave un type diffeacuterent de reacutesolution de DOI
httpdatadataciteorg
bull DataCite Metadata Schema Scheacutema de meacutetadonneacutees DataCite httpschemadataciteorg
bull DataCite Test Environment httptestdataciteorg
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Organisme recherche international CEA CNRS Institut Laue-Langevin ILL Datasets Donneacutees de la recherche X
Organisme recherche
Institut Franccedilais de Recherche pour
lExploitation de la Mer IFREMER Datasets Donneacutees de la recherche X
Editeur Organisme de Recherche
Office National dEtudes et de Recherches
Aeacuterospatiales ONERA Text Articles X
Structure feacutedeacuterative recherche Universiteacute CNRS IRD Observatoire Midi-Pyreacuteneacutees OMP Datasets Donneacutees de la recherche X
Organisme recherche Centre National de Recherche Scientifique CNRS Datasets Donneacutees de la recherche X
Universiteacute Universiteacute Lorraine UL Text Manuscrits anciens X
Universiteacute Universiteacute Nouvelle-Caleacutedonie UNC Text Thegraveses X
Universiteacute CNRS Maison Reneacute Ginouvegraves MAE Film Films X
Organisme recherche
Observatoire Mammifegraveres Echantillonneurs
Milieu Oceacuteanique MEMO Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche Institut Pierre-Simon Laplace IPSL Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche CNRS Archives donneacutees issues statistiques publiques ADISP Text Enquecirctes X
Organisme recherche Centre National de Recherche Scientifique CNRS Images Image Images
Organisme recherche
Institut National de la Santeacute et de la Recherche
Meacutedicale INSERM Datasets Cohortes
Enseignement Supeacuterieur et Recherche Ecole Normale Supeacuterieure Lyon ENS Text Articles dictionnaire
Editeur Cercle de Recherche et d Action Peacutedagogique CRAP Text Articles
Structure feacutedeacuterative Universiteacute CNRS Observatoire oceacuteanologique Villefranche OBS-VLFR Datasets Donneacutees de la recherche
Structure feacutedeacuterative Universiteacute CNRS IRD Observatoire oceacuteanologique Banyuls sur Mer OBS-BANYULS Datasets Donneacutees de la recherche
Editeur Editeur Nouveau Monde Text Articles
Structure feacutedeacuterative recherche Universiteacute CNRS INP
Grenoble Grenoble Images Parole Signal Automatique GIPSA-lab Text Articles Rapports
Organisme recherche Institut national de la Recherche Agronomique INRA Datasets Donneacutees de la recherche
Organisme international
Organisation des Nations Unies pour
lEducation la Science et la Culture UNESCO Datasets Service
Donneacutees de la recherche
Services
Organisme recherche Filiale CNES Collecte Localisation Satellites CLS Datasets Donneacutees de la recherche
Enseignement Supeacuterieur et Recherche Ecole Nationale Aviation Civile ENAC Event Text Actes colloque
Structure feacutedeacuterative recherche CEA CNRS Observatoire des Micro amp Nano Technologies OMNT Text Commentaires articles
Structure feacutedeacuterative recherche Universiteacute IRISA
Institut de Recherche en Informatique et
Systegravemes Aleacuteatoires IRISA Datasets Donneacutees de la recherche
Organisme recherche Centre National de Recherche Scientifique CNRS Text Articles
Universiteacute Universiteacute Pierre et Marie Curie UPMC Text Reacutesumeacutes livres
Universiteacute
Organisme recherche
Universiteacute Paris Diderot
Recherche Agronomique pour le Deacuteveloppement
Paris VII
CIRAD
Text Audiovisual
Datasets
Articles Videacuteos
Donneacutees de la recherche
Type organisme Nom organisme Acronyme Caracteacuteristique objet
Type objet (General
Resource
Type)
Centre donneacutees
creacuteeacute
Reacutepertoire drsquoarchives
de donneacutees
Initiatives lieacutees
bull Thomson-Reuters Data Citation Index
bull European Persistant Identifier Consortium (EPIC)
bull ODIN European project (ORCID and DataCite
Interoperability Network)
bull CODATAICSTI Working Group on Data Citation
bull FORCE 11 Amsterdam Manifesto
bull OpenAIREplus project
bull Research Data Alliance
Data Citation Index
bull Discovery of data most important to
scholarly research
bull Data linked to published research literature
bull Measures of data
citation use and reuse
bull New metrics for digital
scholarship
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
Bridging the gap
Publishers Data centres
DOIs in Use DataCite
CrossRef has registered more than 51 million DOIs on behalf of scholarly publishers
But CrossRef DOIs are not the only DOIs available in the scholarly community DOIs
for datasets associated with scholarly research are being registered by institutions in the DataCite network DataCite and CrossRef have committed to the
interoperability of their DOIs Ideally scholarly content like journals will cite related
data by the appropriate DataCite DOI and in return the data record will cite the
relevant articlersquos CrossRef DOI (from CrossRef Quarterly January 2012)
Bridging the gap
Relier llsquoarticle et les donneacutees sous-jacentes via les DOI
The dataset
Storz D et al (2009)
Planktic foraminiferal flux and faunal composition of sediment trap L1_K276 in the northeastern Atlantic
httpdxdoiorg101594PANGAEA724325
Is supplement to the article
Storz David Schulz Hartmut Waniek Joanna J Schulz-Bull Detlef Kucera Michal (2009) Seasonal and interannual variability of the planktic foraminiferal flux in the vicinity of the Azores Current
Deep-Sea Research Part I-Oceanographic Research Papers 56(1) 107-124
httpdxdoiorg101016jdsr200808009
Citation de donneacutees
Position lsquoofficiellersquo des eacutediteurs
27
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
PS 1389-3 PS 1390-3 PS 1431-1 PS 1640-1 PS 1648-1
Age (kyr) max 23355 ky r PS1389-3f f
00
1000
2000
0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100
54deg 0 54deg 0
54deg30 54deg30
55deg 0 55deg 0
55deg30 55deg30
11deg
11deg
12deg
12deg
13deg
13deg
14deg
14deg
15deg
15deg
World vector shore line
Grain size class KOLP A
Grain size class KOEHN2
Grain size class KOEHN
Geochemistry
Grain size class KOLP B
Grain size class KOLP DIN
20 m
Scale 12695194 at Latitude 0deg
Source Baltic Sea Research Institute Warnemuumlnde
bull Earth quake events =gt doi101594GFZGEOFONgfz2009kciu
bull Climate models =gt doi101594WDCCdphase_mpeps
bull Sea bed photos =gt doi101594PANGAEA757741
bull Videos =gt doi1032072959859860
bull Digitized ancient documents =gt doi1012763L401-06
bull Computational models =gt doi104225024E9F69C011BC8
bull Audio records =gt doi101594PANGAEA339110
bull Grey Literature =gt doi102314GBV489185967
bull Medical case studies =gt doi101594eaacinet2007CR5-270407
De quels types de donneacutees parlons-nous
Anything that is the foundation
of further research
is research data
Data is evidence
bull Dataset
bull Text
bull Collection
bull Event
bull Film
bull Audiovisual
bull Image
bull InteractiveResource
bull Model
bull PhysicalObject
bull Service
bull Software
bull Sound
bull Workflow
bull Other
Actuellement Dataset largement majoritaire gt Text gt Image gt Collection
dans MDS DataCite
Type de ressources DataCite
(proprieacuteteacute resourceTypeGeneral)
Services DataCite
bull DataCite Metadata Store (MDS) Creacuteation DOI et enregistrement des meacutetadonneacutees associeacutees
httpsmdsdataciteorg
bull DataCite Metadata Search
Recherche des meacutetadonneacutees associeacutees aux jeux de donneacutees enregistreacutees dans
DataCite httpsearchdataciteorg
bull DataCite OAI Provider
Exposition des meacutetadonneacutees de DataCite en OAI-PMH
httpoaidataciteorg
bull DataCite Statistics
Statistiques enregistrement DOI et reacutesolution DOI httpstatsdataciteorg
Services DataCite
bull DOI Citation Formatter En collaboration avec CrossRef ndash Creacuteation de diffeacuterents formats de citation pour
les DOI DataCite et CrossRef httpcrossciteorgciteproc
bull Content Negotiation Exposition des meacutetadonneacutees stockeacutees dans MDS en choisissant
parmi un large eacuteventail de formats Possibiliteacute drsquoacceacuteder
directement aux donneacutees gracircce agrave un type diffeacuterent de reacutesolution de DOI
httpdatadataciteorg
bull DataCite Metadata Schema Scheacutema de meacutetadonneacutees DataCite httpschemadataciteorg
bull DataCite Test Environment httptestdataciteorg
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Organisme recherche international CEA CNRS Institut Laue-Langevin ILL Datasets Donneacutees de la recherche X
Organisme recherche
Institut Franccedilais de Recherche pour
lExploitation de la Mer IFREMER Datasets Donneacutees de la recherche X
Editeur Organisme de Recherche
Office National dEtudes et de Recherches
Aeacuterospatiales ONERA Text Articles X
Structure feacutedeacuterative recherche Universiteacute CNRS IRD Observatoire Midi-Pyreacuteneacutees OMP Datasets Donneacutees de la recherche X
Organisme recherche Centre National de Recherche Scientifique CNRS Datasets Donneacutees de la recherche X
Universiteacute Universiteacute Lorraine UL Text Manuscrits anciens X
Universiteacute Universiteacute Nouvelle-Caleacutedonie UNC Text Thegraveses X
Universiteacute CNRS Maison Reneacute Ginouvegraves MAE Film Films X
Organisme recherche
Observatoire Mammifegraveres Echantillonneurs
Milieu Oceacuteanique MEMO Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche Institut Pierre-Simon Laplace IPSL Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche CNRS Archives donneacutees issues statistiques publiques ADISP Text Enquecirctes X
Organisme recherche Centre National de Recherche Scientifique CNRS Images Image Images
Organisme recherche
Institut National de la Santeacute et de la Recherche
Meacutedicale INSERM Datasets Cohortes
Enseignement Supeacuterieur et Recherche Ecole Normale Supeacuterieure Lyon ENS Text Articles dictionnaire
Editeur Cercle de Recherche et d Action Peacutedagogique CRAP Text Articles
Structure feacutedeacuterative Universiteacute CNRS Observatoire oceacuteanologique Villefranche OBS-VLFR Datasets Donneacutees de la recherche
Structure feacutedeacuterative Universiteacute CNRS IRD Observatoire oceacuteanologique Banyuls sur Mer OBS-BANYULS Datasets Donneacutees de la recherche
Editeur Editeur Nouveau Monde Text Articles
Structure feacutedeacuterative recherche Universiteacute CNRS INP
Grenoble Grenoble Images Parole Signal Automatique GIPSA-lab Text Articles Rapports
Organisme recherche Institut national de la Recherche Agronomique INRA Datasets Donneacutees de la recherche
Organisme international
Organisation des Nations Unies pour
lEducation la Science et la Culture UNESCO Datasets Service
Donneacutees de la recherche
Services
Organisme recherche Filiale CNES Collecte Localisation Satellites CLS Datasets Donneacutees de la recherche
Enseignement Supeacuterieur et Recherche Ecole Nationale Aviation Civile ENAC Event Text Actes colloque
Structure feacutedeacuterative recherche CEA CNRS Observatoire des Micro amp Nano Technologies OMNT Text Commentaires articles
Structure feacutedeacuterative recherche Universiteacute IRISA
Institut de Recherche en Informatique et
Systegravemes Aleacuteatoires IRISA Datasets Donneacutees de la recherche
Organisme recherche Centre National de Recherche Scientifique CNRS Text Articles
Universiteacute Universiteacute Pierre et Marie Curie UPMC Text Reacutesumeacutes livres
Universiteacute
Organisme recherche
Universiteacute Paris Diderot
Recherche Agronomique pour le Deacuteveloppement
Paris VII
CIRAD
Text Audiovisual
Datasets
Articles Videacuteos
Donneacutees de la recherche
Type organisme Nom organisme Acronyme Caracteacuteristique objet
Type objet (General
Resource
Type)
Centre donneacutees
creacuteeacute
Reacutepertoire drsquoarchives
de donneacutees
Initiatives lieacutees
bull Thomson-Reuters Data Citation Index
bull European Persistant Identifier Consortium (EPIC)
bull ODIN European project (ORCID and DataCite
Interoperability Network)
bull CODATAICSTI Working Group on Data Citation
bull FORCE 11 Amsterdam Manifesto
bull OpenAIREplus project
bull Research Data Alliance
Data Citation Index
bull Discovery of data most important to
scholarly research
bull Data linked to published research literature
bull Measures of data
citation use and reuse
bull New metrics for digital
scholarship
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
Bridging the gap
Relier llsquoarticle et les donneacutees sous-jacentes via les DOI
The dataset
Storz D et al (2009)
Planktic foraminiferal flux and faunal composition of sediment trap L1_K276 in the northeastern Atlantic
httpdxdoiorg101594PANGAEA724325
Is supplement to the article
Storz David Schulz Hartmut Waniek Joanna J Schulz-Bull Detlef Kucera Michal (2009) Seasonal and interannual variability of the planktic foraminiferal flux in the vicinity of the Azores Current
Deep-Sea Research Part I-Oceanographic Research Papers 56(1) 107-124
httpdxdoiorg101016jdsr200808009
Citation de donneacutees
Position lsquoofficiellersquo des eacutediteurs
27
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
PS 1389-3 PS 1390-3 PS 1431-1 PS 1640-1 PS 1648-1
Age (kyr) max 23355 ky r PS1389-3f f
00
1000
2000
0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100
54deg 0 54deg 0
54deg30 54deg30
55deg 0 55deg 0
55deg30 55deg30
11deg
11deg
12deg
12deg
13deg
13deg
14deg
14deg
15deg
15deg
World vector shore line
Grain size class KOLP A
Grain size class KOEHN2
Grain size class KOEHN
Geochemistry
Grain size class KOLP B
Grain size class KOLP DIN
20 m
Scale 12695194 at Latitude 0deg
Source Baltic Sea Research Institute Warnemuumlnde
bull Earth quake events =gt doi101594GFZGEOFONgfz2009kciu
bull Climate models =gt doi101594WDCCdphase_mpeps
bull Sea bed photos =gt doi101594PANGAEA757741
bull Videos =gt doi1032072959859860
bull Digitized ancient documents =gt doi1012763L401-06
bull Computational models =gt doi104225024E9F69C011BC8
bull Audio records =gt doi101594PANGAEA339110
bull Grey Literature =gt doi102314GBV489185967
bull Medical case studies =gt doi101594eaacinet2007CR5-270407
De quels types de donneacutees parlons-nous
Anything that is the foundation
of further research
is research data
Data is evidence
bull Dataset
bull Text
bull Collection
bull Event
bull Film
bull Audiovisual
bull Image
bull InteractiveResource
bull Model
bull PhysicalObject
bull Service
bull Software
bull Sound
bull Workflow
bull Other
Actuellement Dataset largement majoritaire gt Text gt Image gt Collection
dans MDS DataCite
Type de ressources DataCite
(proprieacuteteacute resourceTypeGeneral)
Services DataCite
bull DataCite Metadata Store (MDS) Creacuteation DOI et enregistrement des meacutetadonneacutees associeacutees
httpsmdsdataciteorg
bull DataCite Metadata Search
Recherche des meacutetadonneacutees associeacutees aux jeux de donneacutees enregistreacutees dans
DataCite httpsearchdataciteorg
bull DataCite OAI Provider
Exposition des meacutetadonneacutees de DataCite en OAI-PMH
httpoaidataciteorg
bull DataCite Statistics
Statistiques enregistrement DOI et reacutesolution DOI httpstatsdataciteorg
Services DataCite
bull DOI Citation Formatter En collaboration avec CrossRef ndash Creacuteation de diffeacuterents formats de citation pour
les DOI DataCite et CrossRef httpcrossciteorgciteproc
bull Content Negotiation Exposition des meacutetadonneacutees stockeacutees dans MDS en choisissant
parmi un large eacuteventail de formats Possibiliteacute drsquoacceacuteder
directement aux donneacutees gracircce agrave un type diffeacuterent de reacutesolution de DOI
httpdatadataciteorg
bull DataCite Metadata Schema Scheacutema de meacutetadonneacutees DataCite httpschemadataciteorg
bull DataCite Test Environment httptestdataciteorg
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Organisme recherche international CEA CNRS Institut Laue-Langevin ILL Datasets Donneacutees de la recherche X
Organisme recherche
Institut Franccedilais de Recherche pour
lExploitation de la Mer IFREMER Datasets Donneacutees de la recherche X
Editeur Organisme de Recherche
Office National dEtudes et de Recherches
Aeacuterospatiales ONERA Text Articles X
Structure feacutedeacuterative recherche Universiteacute CNRS IRD Observatoire Midi-Pyreacuteneacutees OMP Datasets Donneacutees de la recherche X
Organisme recherche Centre National de Recherche Scientifique CNRS Datasets Donneacutees de la recherche X
Universiteacute Universiteacute Lorraine UL Text Manuscrits anciens X
Universiteacute Universiteacute Nouvelle-Caleacutedonie UNC Text Thegraveses X
Universiteacute CNRS Maison Reneacute Ginouvegraves MAE Film Films X
Organisme recherche
Observatoire Mammifegraveres Echantillonneurs
Milieu Oceacuteanique MEMO Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche Institut Pierre-Simon Laplace IPSL Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche CNRS Archives donneacutees issues statistiques publiques ADISP Text Enquecirctes X
Organisme recherche Centre National de Recherche Scientifique CNRS Images Image Images
Organisme recherche
Institut National de la Santeacute et de la Recherche
Meacutedicale INSERM Datasets Cohortes
Enseignement Supeacuterieur et Recherche Ecole Normale Supeacuterieure Lyon ENS Text Articles dictionnaire
Editeur Cercle de Recherche et d Action Peacutedagogique CRAP Text Articles
Structure feacutedeacuterative Universiteacute CNRS Observatoire oceacuteanologique Villefranche OBS-VLFR Datasets Donneacutees de la recherche
Structure feacutedeacuterative Universiteacute CNRS IRD Observatoire oceacuteanologique Banyuls sur Mer OBS-BANYULS Datasets Donneacutees de la recherche
Editeur Editeur Nouveau Monde Text Articles
Structure feacutedeacuterative recherche Universiteacute CNRS INP
Grenoble Grenoble Images Parole Signal Automatique GIPSA-lab Text Articles Rapports
Organisme recherche Institut national de la Recherche Agronomique INRA Datasets Donneacutees de la recherche
Organisme international
Organisation des Nations Unies pour
lEducation la Science et la Culture UNESCO Datasets Service
Donneacutees de la recherche
Services
Organisme recherche Filiale CNES Collecte Localisation Satellites CLS Datasets Donneacutees de la recherche
Enseignement Supeacuterieur et Recherche Ecole Nationale Aviation Civile ENAC Event Text Actes colloque
Structure feacutedeacuterative recherche CEA CNRS Observatoire des Micro amp Nano Technologies OMNT Text Commentaires articles
Structure feacutedeacuterative recherche Universiteacute IRISA
Institut de Recherche en Informatique et
Systegravemes Aleacuteatoires IRISA Datasets Donneacutees de la recherche
Organisme recherche Centre National de Recherche Scientifique CNRS Text Articles
Universiteacute Universiteacute Pierre et Marie Curie UPMC Text Reacutesumeacutes livres
Universiteacute
Organisme recherche
Universiteacute Paris Diderot
Recherche Agronomique pour le Deacuteveloppement
Paris VII
CIRAD
Text Audiovisual
Datasets
Articles Videacuteos
Donneacutees de la recherche
Type organisme Nom organisme Acronyme Caracteacuteristique objet
Type objet (General
Resource
Type)
Centre donneacutees
creacuteeacute
Reacutepertoire drsquoarchives
de donneacutees
Initiatives lieacutees
bull Thomson-Reuters Data Citation Index
bull European Persistant Identifier Consortium (EPIC)
bull ODIN European project (ORCID and DataCite
Interoperability Network)
bull CODATAICSTI Working Group on Data Citation
bull FORCE 11 Amsterdam Manifesto
bull OpenAIREplus project
bull Research Data Alliance
Data Citation Index
bull Discovery of data most important to
scholarly research
bull Data linked to published research literature
bull Measures of data
citation use and reuse
bull New metrics for digital
scholarship
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
Relier llsquoarticle et les donneacutees sous-jacentes via les DOI
The dataset
Storz D et al (2009)
Planktic foraminiferal flux and faunal composition of sediment trap L1_K276 in the northeastern Atlantic
httpdxdoiorg101594PANGAEA724325
Is supplement to the article
Storz David Schulz Hartmut Waniek Joanna J Schulz-Bull Detlef Kucera Michal (2009) Seasonal and interannual variability of the planktic foraminiferal flux in the vicinity of the Azores Current
Deep-Sea Research Part I-Oceanographic Research Papers 56(1) 107-124
httpdxdoiorg101016jdsr200808009
Citation de donneacutees
Position lsquoofficiellersquo des eacutediteurs
27
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
PS 1389-3 PS 1390-3 PS 1431-1 PS 1640-1 PS 1648-1
Age (kyr) max 23355 ky r PS1389-3f f
00
1000
2000
0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100
54deg 0 54deg 0
54deg30 54deg30
55deg 0 55deg 0
55deg30 55deg30
11deg
11deg
12deg
12deg
13deg
13deg
14deg
14deg
15deg
15deg
World vector shore line
Grain size class KOLP A
Grain size class KOEHN2
Grain size class KOEHN
Geochemistry
Grain size class KOLP B
Grain size class KOLP DIN
20 m
Scale 12695194 at Latitude 0deg
Source Baltic Sea Research Institute Warnemuumlnde
bull Earth quake events =gt doi101594GFZGEOFONgfz2009kciu
bull Climate models =gt doi101594WDCCdphase_mpeps
bull Sea bed photos =gt doi101594PANGAEA757741
bull Videos =gt doi1032072959859860
bull Digitized ancient documents =gt doi1012763L401-06
bull Computational models =gt doi104225024E9F69C011BC8
bull Audio records =gt doi101594PANGAEA339110
bull Grey Literature =gt doi102314GBV489185967
bull Medical case studies =gt doi101594eaacinet2007CR5-270407
De quels types de donneacutees parlons-nous
Anything that is the foundation
of further research
is research data
Data is evidence
bull Dataset
bull Text
bull Collection
bull Event
bull Film
bull Audiovisual
bull Image
bull InteractiveResource
bull Model
bull PhysicalObject
bull Service
bull Software
bull Sound
bull Workflow
bull Other
Actuellement Dataset largement majoritaire gt Text gt Image gt Collection
dans MDS DataCite
Type de ressources DataCite
(proprieacuteteacute resourceTypeGeneral)
Services DataCite
bull DataCite Metadata Store (MDS) Creacuteation DOI et enregistrement des meacutetadonneacutees associeacutees
httpsmdsdataciteorg
bull DataCite Metadata Search
Recherche des meacutetadonneacutees associeacutees aux jeux de donneacutees enregistreacutees dans
DataCite httpsearchdataciteorg
bull DataCite OAI Provider
Exposition des meacutetadonneacutees de DataCite en OAI-PMH
httpoaidataciteorg
bull DataCite Statistics
Statistiques enregistrement DOI et reacutesolution DOI httpstatsdataciteorg
Services DataCite
bull DOI Citation Formatter En collaboration avec CrossRef ndash Creacuteation de diffeacuterents formats de citation pour
les DOI DataCite et CrossRef httpcrossciteorgciteproc
bull Content Negotiation Exposition des meacutetadonneacutees stockeacutees dans MDS en choisissant
parmi un large eacuteventail de formats Possibiliteacute drsquoacceacuteder
directement aux donneacutees gracircce agrave un type diffeacuterent de reacutesolution de DOI
httpdatadataciteorg
bull DataCite Metadata Schema Scheacutema de meacutetadonneacutees DataCite httpschemadataciteorg
bull DataCite Test Environment httptestdataciteorg
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Organisme recherche international CEA CNRS Institut Laue-Langevin ILL Datasets Donneacutees de la recherche X
Organisme recherche
Institut Franccedilais de Recherche pour
lExploitation de la Mer IFREMER Datasets Donneacutees de la recherche X
Editeur Organisme de Recherche
Office National dEtudes et de Recherches
Aeacuterospatiales ONERA Text Articles X
Structure feacutedeacuterative recherche Universiteacute CNRS IRD Observatoire Midi-Pyreacuteneacutees OMP Datasets Donneacutees de la recherche X
Organisme recherche Centre National de Recherche Scientifique CNRS Datasets Donneacutees de la recherche X
Universiteacute Universiteacute Lorraine UL Text Manuscrits anciens X
Universiteacute Universiteacute Nouvelle-Caleacutedonie UNC Text Thegraveses X
Universiteacute CNRS Maison Reneacute Ginouvegraves MAE Film Films X
Organisme recherche
Observatoire Mammifegraveres Echantillonneurs
Milieu Oceacuteanique MEMO Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche Institut Pierre-Simon Laplace IPSL Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche CNRS Archives donneacutees issues statistiques publiques ADISP Text Enquecirctes X
Organisme recherche Centre National de Recherche Scientifique CNRS Images Image Images
Organisme recherche
Institut National de la Santeacute et de la Recherche
Meacutedicale INSERM Datasets Cohortes
Enseignement Supeacuterieur et Recherche Ecole Normale Supeacuterieure Lyon ENS Text Articles dictionnaire
Editeur Cercle de Recherche et d Action Peacutedagogique CRAP Text Articles
Structure feacutedeacuterative Universiteacute CNRS Observatoire oceacuteanologique Villefranche OBS-VLFR Datasets Donneacutees de la recherche
Structure feacutedeacuterative Universiteacute CNRS IRD Observatoire oceacuteanologique Banyuls sur Mer OBS-BANYULS Datasets Donneacutees de la recherche
Editeur Editeur Nouveau Monde Text Articles
Structure feacutedeacuterative recherche Universiteacute CNRS INP
Grenoble Grenoble Images Parole Signal Automatique GIPSA-lab Text Articles Rapports
Organisme recherche Institut national de la Recherche Agronomique INRA Datasets Donneacutees de la recherche
Organisme international
Organisation des Nations Unies pour
lEducation la Science et la Culture UNESCO Datasets Service
Donneacutees de la recherche
Services
Organisme recherche Filiale CNES Collecte Localisation Satellites CLS Datasets Donneacutees de la recherche
Enseignement Supeacuterieur et Recherche Ecole Nationale Aviation Civile ENAC Event Text Actes colloque
Structure feacutedeacuterative recherche CEA CNRS Observatoire des Micro amp Nano Technologies OMNT Text Commentaires articles
Structure feacutedeacuterative recherche Universiteacute IRISA
Institut de Recherche en Informatique et
Systegravemes Aleacuteatoires IRISA Datasets Donneacutees de la recherche
Organisme recherche Centre National de Recherche Scientifique CNRS Text Articles
Universiteacute Universiteacute Pierre et Marie Curie UPMC Text Reacutesumeacutes livres
Universiteacute
Organisme recherche
Universiteacute Paris Diderot
Recherche Agronomique pour le Deacuteveloppement
Paris VII
CIRAD
Text Audiovisual
Datasets
Articles Videacuteos
Donneacutees de la recherche
Type organisme Nom organisme Acronyme Caracteacuteristique objet
Type objet (General
Resource
Type)
Centre donneacutees
creacuteeacute
Reacutepertoire drsquoarchives
de donneacutees
Initiatives lieacutees
bull Thomson-Reuters Data Citation Index
bull European Persistant Identifier Consortium (EPIC)
bull ODIN European project (ORCID and DataCite
Interoperability Network)
bull CODATAICSTI Working Group on Data Citation
bull FORCE 11 Amsterdam Manifesto
bull OpenAIREplus project
bull Research Data Alliance
Data Citation Index
bull Discovery of data most important to
scholarly research
bull Data linked to published research literature
bull Measures of data
citation use and reuse
bull New metrics for digital
scholarship
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
Position lsquoofficiellersquo des eacutediteurs
27
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
PS 1389-3 PS 1390-3 PS 1431-1 PS 1640-1 PS 1648-1
Age (kyr) max 23355 ky r PS1389-3f f
00
1000
2000
0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100
54deg 0 54deg 0
54deg30 54deg30
55deg 0 55deg 0
55deg30 55deg30
11deg
11deg
12deg
12deg
13deg
13deg
14deg
14deg
15deg
15deg
World vector shore line
Grain size class KOLP A
Grain size class KOEHN2
Grain size class KOEHN
Geochemistry
Grain size class KOLP B
Grain size class KOLP DIN
20 m
Scale 12695194 at Latitude 0deg
Source Baltic Sea Research Institute Warnemuumlnde
bull Earth quake events =gt doi101594GFZGEOFONgfz2009kciu
bull Climate models =gt doi101594WDCCdphase_mpeps
bull Sea bed photos =gt doi101594PANGAEA757741
bull Videos =gt doi1032072959859860
bull Digitized ancient documents =gt doi1012763L401-06
bull Computational models =gt doi104225024E9F69C011BC8
bull Audio records =gt doi101594PANGAEA339110
bull Grey Literature =gt doi102314GBV489185967
bull Medical case studies =gt doi101594eaacinet2007CR5-270407
De quels types de donneacutees parlons-nous
Anything that is the foundation
of further research
is research data
Data is evidence
bull Dataset
bull Text
bull Collection
bull Event
bull Film
bull Audiovisual
bull Image
bull InteractiveResource
bull Model
bull PhysicalObject
bull Service
bull Software
bull Sound
bull Workflow
bull Other
Actuellement Dataset largement majoritaire gt Text gt Image gt Collection
dans MDS DataCite
Type de ressources DataCite
(proprieacuteteacute resourceTypeGeneral)
Services DataCite
bull DataCite Metadata Store (MDS) Creacuteation DOI et enregistrement des meacutetadonneacutees associeacutees
httpsmdsdataciteorg
bull DataCite Metadata Search
Recherche des meacutetadonneacutees associeacutees aux jeux de donneacutees enregistreacutees dans
DataCite httpsearchdataciteorg
bull DataCite OAI Provider
Exposition des meacutetadonneacutees de DataCite en OAI-PMH
httpoaidataciteorg
bull DataCite Statistics
Statistiques enregistrement DOI et reacutesolution DOI httpstatsdataciteorg
Services DataCite
bull DOI Citation Formatter En collaboration avec CrossRef ndash Creacuteation de diffeacuterents formats de citation pour
les DOI DataCite et CrossRef httpcrossciteorgciteproc
bull Content Negotiation Exposition des meacutetadonneacutees stockeacutees dans MDS en choisissant
parmi un large eacuteventail de formats Possibiliteacute drsquoacceacuteder
directement aux donneacutees gracircce agrave un type diffeacuterent de reacutesolution de DOI
httpdatadataciteorg
bull DataCite Metadata Schema Scheacutema de meacutetadonneacutees DataCite httpschemadataciteorg
bull DataCite Test Environment httptestdataciteorg
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Organisme recherche international CEA CNRS Institut Laue-Langevin ILL Datasets Donneacutees de la recherche X
Organisme recherche
Institut Franccedilais de Recherche pour
lExploitation de la Mer IFREMER Datasets Donneacutees de la recherche X
Editeur Organisme de Recherche
Office National dEtudes et de Recherches
Aeacuterospatiales ONERA Text Articles X
Structure feacutedeacuterative recherche Universiteacute CNRS IRD Observatoire Midi-Pyreacuteneacutees OMP Datasets Donneacutees de la recherche X
Organisme recherche Centre National de Recherche Scientifique CNRS Datasets Donneacutees de la recherche X
Universiteacute Universiteacute Lorraine UL Text Manuscrits anciens X
Universiteacute Universiteacute Nouvelle-Caleacutedonie UNC Text Thegraveses X
Universiteacute CNRS Maison Reneacute Ginouvegraves MAE Film Films X
Organisme recherche
Observatoire Mammifegraveres Echantillonneurs
Milieu Oceacuteanique MEMO Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche Institut Pierre-Simon Laplace IPSL Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche CNRS Archives donneacutees issues statistiques publiques ADISP Text Enquecirctes X
Organisme recherche Centre National de Recherche Scientifique CNRS Images Image Images
Organisme recherche
Institut National de la Santeacute et de la Recherche
Meacutedicale INSERM Datasets Cohortes
Enseignement Supeacuterieur et Recherche Ecole Normale Supeacuterieure Lyon ENS Text Articles dictionnaire
Editeur Cercle de Recherche et d Action Peacutedagogique CRAP Text Articles
Structure feacutedeacuterative Universiteacute CNRS Observatoire oceacuteanologique Villefranche OBS-VLFR Datasets Donneacutees de la recherche
Structure feacutedeacuterative Universiteacute CNRS IRD Observatoire oceacuteanologique Banyuls sur Mer OBS-BANYULS Datasets Donneacutees de la recherche
Editeur Editeur Nouveau Monde Text Articles
Structure feacutedeacuterative recherche Universiteacute CNRS INP
Grenoble Grenoble Images Parole Signal Automatique GIPSA-lab Text Articles Rapports
Organisme recherche Institut national de la Recherche Agronomique INRA Datasets Donneacutees de la recherche
Organisme international
Organisation des Nations Unies pour
lEducation la Science et la Culture UNESCO Datasets Service
Donneacutees de la recherche
Services
Organisme recherche Filiale CNES Collecte Localisation Satellites CLS Datasets Donneacutees de la recherche
Enseignement Supeacuterieur et Recherche Ecole Nationale Aviation Civile ENAC Event Text Actes colloque
Structure feacutedeacuterative recherche CEA CNRS Observatoire des Micro amp Nano Technologies OMNT Text Commentaires articles
Structure feacutedeacuterative recherche Universiteacute IRISA
Institut de Recherche en Informatique et
Systegravemes Aleacuteatoires IRISA Datasets Donneacutees de la recherche
Organisme recherche Centre National de Recherche Scientifique CNRS Text Articles
Universiteacute Universiteacute Pierre et Marie Curie UPMC Text Reacutesumeacutes livres
Universiteacute
Organisme recherche
Universiteacute Paris Diderot
Recherche Agronomique pour le Deacuteveloppement
Paris VII
CIRAD
Text Audiovisual
Datasets
Articles Videacuteos
Donneacutees de la recherche
Type organisme Nom organisme Acronyme Caracteacuteristique objet
Type objet (General
Resource
Type)
Centre donneacutees
creacuteeacute
Reacutepertoire drsquoarchives
de donneacutees
Initiatives lieacutees
bull Thomson-Reuters Data Citation Index
bull European Persistant Identifier Consortium (EPIC)
bull ODIN European project (ORCID and DataCite
Interoperability Network)
bull CODATAICSTI Working Group on Data Citation
bull FORCE 11 Amsterdam Manifesto
bull OpenAIREplus project
bull Research Data Alliance
Data Citation Index
bull Discovery of data most important to
scholarly research
bull Data linked to published research literature
bull Measures of data
citation use and reuse
bull New metrics for digital
scholarship
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
27
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
PS 1389-3 PS 1390-3 PS 1431-1 PS 1640-1 PS 1648-1
Age (kyr) max 23355 ky r PS1389-3f f
00
1000
2000
0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100
54deg 0 54deg 0
54deg30 54deg30
55deg 0 55deg 0
55deg30 55deg30
11deg
11deg
12deg
12deg
13deg
13deg
14deg
14deg
15deg
15deg
World vector shore line
Grain size class KOLP A
Grain size class KOEHN2
Grain size class KOEHN
Geochemistry
Grain size class KOLP B
Grain size class KOLP DIN
20 m
Scale 12695194 at Latitude 0deg
Source Baltic Sea Research Institute Warnemuumlnde
bull Earth quake events =gt doi101594GFZGEOFONgfz2009kciu
bull Climate models =gt doi101594WDCCdphase_mpeps
bull Sea bed photos =gt doi101594PANGAEA757741
bull Videos =gt doi1032072959859860
bull Digitized ancient documents =gt doi1012763L401-06
bull Computational models =gt doi104225024E9F69C011BC8
bull Audio records =gt doi101594PANGAEA339110
bull Grey Literature =gt doi102314GBV489185967
bull Medical case studies =gt doi101594eaacinet2007CR5-270407
De quels types de donneacutees parlons-nous
Anything that is the foundation
of further research
is research data
Data is evidence
bull Dataset
bull Text
bull Collection
bull Event
bull Film
bull Audiovisual
bull Image
bull InteractiveResource
bull Model
bull PhysicalObject
bull Service
bull Software
bull Sound
bull Workflow
bull Other
Actuellement Dataset largement majoritaire gt Text gt Image gt Collection
dans MDS DataCite
Type de ressources DataCite
(proprieacuteteacute resourceTypeGeneral)
Services DataCite
bull DataCite Metadata Store (MDS) Creacuteation DOI et enregistrement des meacutetadonneacutees associeacutees
httpsmdsdataciteorg
bull DataCite Metadata Search
Recherche des meacutetadonneacutees associeacutees aux jeux de donneacutees enregistreacutees dans
DataCite httpsearchdataciteorg
bull DataCite OAI Provider
Exposition des meacutetadonneacutees de DataCite en OAI-PMH
httpoaidataciteorg
bull DataCite Statistics
Statistiques enregistrement DOI et reacutesolution DOI httpstatsdataciteorg
Services DataCite
bull DOI Citation Formatter En collaboration avec CrossRef ndash Creacuteation de diffeacuterents formats de citation pour
les DOI DataCite et CrossRef httpcrossciteorgciteproc
bull Content Negotiation Exposition des meacutetadonneacutees stockeacutees dans MDS en choisissant
parmi un large eacuteventail de formats Possibiliteacute drsquoacceacuteder
directement aux donneacutees gracircce agrave un type diffeacuterent de reacutesolution de DOI
httpdatadataciteorg
bull DataCite Metadata Schema Scheacutema de meacutetadonneacutees DataCite httpschemadataciteorg
bull DataCite Test Environment httptestdataciteorg
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Organisme recherche international CEA CNRS Institut Laue-Langevin ILL Datasets Donneacutees de la recherche X
Organisme recherche
Institut Franccedilais de Recherche pour
lExploitation de la Mer IFREMER Datasets Donneacutees de la recherche X
Editeur Organisme de Recherche
Office National dEtudes et de Recherches
Aeacuterospatiales ONERA Text Articles X
Structure feacutedeacuterative recherche Universiteacute CNRS IRD Observatoire Midi-Pyreacuteneacutees OMP Datasets Donneacutees de la recherche X
Organisme recherche Centre National de Recherche Scientifique CNRS Datasets Donneacutees de la recherche X
Universiteacute Universiteacute Lorraine UL Text Manuscrits anciens X
Universiteacute Universiteacute Nouvelle-Caleacutedonie UNC Text Thegraveses X
Universiteacute CNRS Maison Reneacute Ginouvegraves MAE Film Films X
Organisme recherche
Observatoire Mammifegraveres Echantillonneurs
Milieu Oceacuteanique MEMO Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche Institut Pierre-Simon Laplace IPSL Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche CNRS Archives donneacutees issues statistiques publiques ADISP Text Enquecirctes X
Organisme recherche Centre National de Recherche Scientifique CNRS Images Image Images
Organisme recherche
Institut National de la Santeacute et de la Recherche
Meacutedicale INSERM Datasets Cohortes
Enseignement Supeacuterieur et Recherche Ecole Normale Supeacuterieure Lyon ENS Text Articles dictionnaire
Editeur Cercle de Recherche et d Action Peacutedagogique CRAP Text Articles
Structure feacutedeacuterative Universiteacute CNRS Observatoire oceacuteanologique Villefranche OBS-VLFR Datasets Donneacutees de la recherche
Structure feacutedeacuterative Universiteacute CNRS IRD Observatoire oceacuteanologique Banyuls sur Mer OBS-BANYULS Datasets Donneacutees de la recherche
Editeur Editeur Nouveau Monde Text Articles
Structure feacutedeacuterative recherche Universiteacute CNRS INP
Grenoble Grenoble Images Parole Signal Automatique GIPSA-lab Text Articles Rapports
Organisme recherche Institut national de la Recherche Agronomique INRA Datasets Donneacutees de la recherche
Organisme international
Organisation des Nations Unies pour
lEducation la Science et la Culture UNESCO Datasets Service
Donneacutees de la recherche
Services
Organisme recherche Filiale CNES Collecte Localisation Satellites CLS Datasets Donneacutees de la recherche
Enseignement Supeacuterieur et Recherche Ecole Nationale Aviation Civile ENAC Event Text Actes colloque
Structure feacutedeacuterative recherche CEA CNRS Observatoire des Micro amp Nano Technologies OMNT Text Commentaires articles
Structure feacutedeacuterative recherche Universiteacute IRISA
Institut de Recherche en Informatique et
Systegravemes Aleacuteatoires IRISA Datasets Donneacutees de la recherche
Organisme recherche Centre National de Recherche Scientifique CNRS Text Articles
Universiteacute Universiteacute Pierre et Marie Curie UPMC Text Reacutesumeacutes livres
Universiteacute
Organisme recherche
Universiteacute Paris Diderot
Recherche Agronomique pour le Deacuteveloppement
Paris VII
CIRAD
Text Audiovisual
Datasets
Articles Videacuteos
Donneacutees de la recherche
Type organisme Nom organisme Acronyme Caracteacuteristique objet
Type objet (General
Resource
Type)
Centre donneacutees
creacuteeacute
Reacutepertoire drsquoarchives
de donneacutees
Initiatives lieacutees
bull Thomson-Reuters Data Citation Index
bull European Persistant Identifier Consortium (EPIC)
bull ODIN European project (ORCID and DataCite
Interoperability Network)
bull CODATAICSTI Working Group on Data Citation
bull FORCE 11 Amsterdam Manifesto
bull OpenAIREplus project
bull Research Data Alliance
Data Citation Index
bull Discovery of data most important to
scholarly research
bull Data linked to published research literature
bull Measures of data
citation use and reuse
bull New metrics for digital
scholarship
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
IRD
( gr av 10 cm 3)
Sand
( )
C aC O3
( )
TOC
( )
R ad io
( sand)
Sme c t
( clay)
PS 1389-3 PS 1390-3 PS 1431-1 PS 1640-1 PS 1648-1
Age (kyr) max 23355 ky r PS1389-3f f
00
1000
2000
0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100 0 20 0 100 0 15 0 0 5 0 50 0 100
54deg 0 54deg 0
54deg30 54deg30
55deg 0 55deg 0
55deg30 55deg30
11deg
11deg
12deg
12deg
13deg
13deg
14deg
14deg
15deg
15deg
World vector shore line
Grain size class KOLP A
Grain size class KOEHN2
Grain size class KOEHN
Geochemistry
Grain size class KOLP B
Grain size class KOLP DIN
20 m
Scale 12695194 at Latitude 0deg
Source Baltic Sea Research Institute Warnemuumlnde
bull Earth quake events =gt doi101594GFZGEOFONgfz2009kciu
bull Climate models =gt doi101594WDCCdphase_mpeps
bull Sea bed photos =gt doi101594PANGAEA757741
bull Videos =gt doi1032072959859860
bull Digitized ancient documents =gt doi1012763L401-06
bull Computational models =gt doi104225024E9F69C011BC8
bull Audio records =gt doi101594PANGAEA339110
bull Grey Literature =gt doi102314GBV489185967
bull Medical case studies =gt doi101594eaacinet2007CR5-270407
De quels types de donneacutees parlons-nous
Anything that is the foundation
of further research
is research data
Data is evidence
bull Dataset
bull Text
bull Collection
bull Event
bull Film
bull Audiovisual
bull Image
bull InteractiveResource
bull Model
bull PhysicalObject
bull Service
bull Software
bull Sound
bull Workflow
bull Other
Actuellement Dataset largement majoritaire gt Text gt Image gt Collection
dans MDS DataCite
Type de ressources DataCite
(proprieacuteteacute resourceTypeGeneral)
Services DataCite
bull DataCite Metadata Store (MDS) Creacuteation DOI et enregistrement des meacutetadonneacutees associeacutees
httpsmdsdataciteorg
bull DataCite Metadata Search
Recherche des meacutetadonneacutees associeacutees aux jeux de donneacutees enregistreacutees dans
DataCite httpsearchdataciteorg
bull DataCite OAI Provider
Exposition des meacutetadonneacutees de DataCite en OAI-PMH
httpoaidataciteorg
bull DataCite Statistics
Statistiques enregistrement DOI et reacutesolution DOI httpstatsdataciteorg
Services DataCite
bull DOI Citation Formatter En collaboration avec CrossRef ndash Creacuteation de diffeacuterents formats de citation pour
les DOI DataCite et CrossRef httpcrossciteorgciteproc
bull Content Negotiation Exposition des meacutetadonneacutees stockeacutees dans MDS en choisissant
parmi un large eacuteventail de formats Possibiliteacute drsquoacceacuteder
directement aux donneacutees gracircce agrave un type diffeacuterent de reacutesolution de DOI
httpdatadataciteorg
bull DataCite Metadata Schema Scheacutema de meacutetadonneacutees DataCite httpschemadataciteorg
bull DataCite Test Environment httptestdataciteorg
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Organisme recherche international CEA CNRS Institut Laue-Langevin ILL Datasets Donneacutees de la recherche X
Organisme recherche
Institut Franccedilais de Recherche pour
lExploitation de la Mer IFREMER Datasets Donneacutees de la recherche X
Editeur Organisme de Recherche
Office National dEtudes et de Recherches
Aeacuterospatiales ONERA Text Articles X
Structure feacutedeacuterative recherche Universiteacute CNRS IRD Observatoire Midi-Pyreacuteneacutees OMP Datasets Donneacutees de la recherche X
Organisme recherche Centre National de Recherche Scientifique CNRS Datasets Donneacutees de la recherche X
Universiteacute Universiteacute Lorraine UL Text Manuscrits anciens X
Universiteacute Universiteacute Nouvelle-Caleacutedonie UNC Text Thegraveses X
Universiteacute CNRS Maison Reneacute Ginouvegraves MAE Film Films X
Organisme recherche
Observatoire Mammifegraveres Echantillonneurs
Milieu Oceacuteanique MEMO Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche Institut Pierre-Simon Laplace IPSL Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche CNRS Archives donneacutees issues statistiques publiques ADISP Text Enquecirctes X
Organisme recherche Centre National de Recherche Scientifique CNRS Images Image Images
Organisme recherche
Institut National de la Santeacute et de la Recherche
Meacutedicale INSERM Datasets Cohortes
Enseignement Supeacuterieur et Recherche Ecole Normale Supeacuterieure Lyon ENS Text Articles dictionnaire
Editeur Cercle de Recherche et d Action Peacutedagogique CRAP Text Articles
Structure feacutedeacuterative Universiteacute CNRS Observatoire oceacuteanologique Villefranche OBS-VLFR Datasets Donneacutees de la recherche
Structure feacutedeacuterative Universiteacute CNRS IRD Observatoire oceacuteanologique Banyuls sur Mer OBS-BANYULS Datasets Donneacutees de la recherche
Editeur Editeur Nouveau Monde Text Articles
Structure feacutedeacuterative recherche Universiteacute CNRS INP
Grenoble Grenoble Images Parole Signal Automatique GIPSA-lab Text Articles Rapports
Organisme recherche Institut national de la Recherche Agronomique INRA Datasets Donneacutees de la recherche
Organisme international
Organisation des Nations Unies pour
lEducation la Science et la Culture UNESCO Datasets Service
Donneacutees de la recherche
Services
Organisme recherche Filiale CNES Collecte Localisation Satellites CLS Datasets Donneacutees de la recherche
Enseignement Supeacuterieur et Recherche Ecole Nationale Aviation Civile ENAC Event Text Actes colloque
Structure feacutedeacuterative recherche CEA CNRS Observatoire des Micro amp Nano Technologies OMNT Text Commentaires articles
Structure feacutedeacuterative recherche Universiteacute IRISA
Institut de Recherche en Informatique et
Systegravemes Aleacuteatoires IRISA Datasets Donneacutees de la recherche
Organisme recherche Centre National de Recherche Scientifique CNRS Text Articles
Universiteacute Universiteacute Pierre et Marie Curie UPMC Text Reacutesumeacutes livres
Universiteacute
Organisme recherche
Universiteacute Paris Diderot
Recherche Agronomique pour le Deacuteveloppement
Paris VII
CIRAD
Text Audiovisual
Datasets
Articles Videacuteos
Donneacutees de la recherche
Type organisme Nom organisme Acronyme Caracteacuteristique objet
Type objet (General
Resource
Type)
Centre donneacutees
creacuteeacute
Reacutepertoire drsquoarchives
de donneacutees
Initiatives lieacutees
bull Thomson-Reuters Data Citation Index
bull European Persistant Identifier Consortium (EPIC)
bull ODIN European project (ORCID and DataCite
Interoperability Network)
bull CODATAICSTI Working Group on Data Citation
bull FORCE 11 Amsterdam Manifesto
bull OpenAIREplus project
bull Research Data Alliance
Data Citation Index
bull Discovery of data most important to
scholarly research
bull Data linked to published research literature
bull Measures of data
citation use and reuse
bull New metrics for digital
scholarship
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
Anything that is the foundation
of further research
is research data
Data is evidence
bull Dataset
bull Text
bull Collection
bull Event
bull Film
bull Audiovisual
bull Image
bull InteractiveResource
bull Model
bull PhysicalObject
bull Service
bull Software
bull Sound
bull Workflow
bull Other
Actuellement Dataset largement majoritaire gt Text gt Image gt Collection
dans MDS DataCite
Type de ressources DataCite
(proprieacuteteacute resourceTypeGeneral)
Services DataCite
bull DataCite Metadata Store (MDS) Creacuteation DOI et enregistrement des meacutetadonneacutees associeacutees
httpsmdsdataciteorg
bull DataCite Metadata Search
Recherche des meacutetadonneacutees associeacutees aux jeux de donneacutees enregistreacutees dans
DataCite httpsearchdataciteorg
bull DataCite OAI Provider
Exposition des meacutetadonneacutees de DataCite en OAI-PMH
httpoaidataciteorg
bull DataCite Statistics
Statistiques enregistrement DOI et reacutesolution DOI httpstatsdataciteorg
Services DataCite
bull DOI Citation Formatter En collaboration avec CrossRef ndash Creacuteation de diffeacuterents formats de citation pour
les DOI DataCite et CrossRef httpcrossciteorgciteproc
bull Content Negotiation Exposition des meacutetadonneacutees stockeacutees dans MDS en choisissant
parmi un large eacuteventail de formats Possibiliteacute drsquoacceacuteder
directement aux donneacutees gracircce agrave un type diffeacuterent de reacutesolution de DOI
httpdatadataciteorg
bull DataCite Metadata Schema Scheacutema de meacutetadonneacutees DataCite httpschemadataciteorg
bull DataCite Test Environment httptestdataciteorg
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Organisme recherche international CEA CNRS Institut Laue-Langevin ILL Datasets Donneacutees de la recherche X
Organisme recherche
Institut Franccedilais de Recherche pour
lExploitation de la Mer IFREMER Datasets Donneacutees de la recherche X
Editeur Organisme de Recherche
Office National dEtudes et de Recherches
Aeacuterospatiales ONERA Text Articles X
Structure feacutedeacuterative recherche Universiteacute CNRS IRD Observatoire Midi-Pyreacuteneacutees OMP Datasets Donneacutees de la recherche X
Organisme recherche Centre National de Recherche Scientifique CNRS Datasets Donneacutees de la recherche X
Universiteacute Universiteacute Lorraine UL Text Manuscrits anciens X
Universiteacute Universiteacute Nouvelle-Caleacutedonie UNC Text Thegraveses X
Universiteacute CNRS Maison Reneacute Ginouvegraves MAE Film Films X
Organisme recherche
Observatoire Mammifegraveres Echantillonneurs
Milieu Oceacuteanique MEMO Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche Institut Pierre-Simon Laplace IPSL Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche CNRS Archives donneacutees issues statistiques publiques ADISP Text Enquecirctes X
Organisme recherche Centre National de Recherche Scientifique CNRS Images Image Images
Organisme recherche
Institut National de la Santeacute et de la Recherche
Meacutedicale INSERM Datasets Cohortes
Enseignement Supeacuterieur et Recherche Ecole Normale Supeacuterieure Lyon ENS Text Articles dictionnaire
Editeur Cercle de Recherche et d Action Peacutedagogique CRAP Text Articles
Structure feacutedeacuterative Universiteacute CNRS Observatoire oceacuteanologique Villefranche OBS-VLFR Datasets Donneacutees de la recherche
Structure feacutedeacuterative Universiteacute CNRS IRD Observatoire oceacuteanologique Banyuls sur Mer OBS-BANYULS Datasets Donneacutees de la recherche
Editeur Editeur Nouveau Monde Text Articles
Structure feacutedeacuterative recherche Universiteacute CNRS INP
Grenoble Grenoble Images Parole Signal Automatique GIPSA-lab Text Articles Rapports
Organisme recherche Institut national de la Recherche Agronomique INRA Datasets Donneacutees de la recherche
Organisme international
Organisation des Nations Unies pour
lEducation la Science et la Culture UNESCO Datasets Service
Donneacutees de la recherche
Services
Organisme recherche Filiale CNES Collecte Localisation Satellites CLS Datasets Donneacutees de la recherche
Enseignement Supeacuterieur et Recherche Ecole Nationale Aviation Civile ENAC Event Text Actes colloque
Structure feacutedeacuterative recherche CEA CNRS Observatoire des Micro amp Nano Technologies OMNT Text Commentaires articles
Structure feacutedeacuterative recherche Universiteacute IRISA
Institut de Recherche en Informatique et
Systegravemes Aleacuteatoires IRISA Datasets Donneacutees de la recherche
Organisme recherche Centre National de Recherche Scientifique CNRS Text Articles
Universiteacute Universiteacute Pierre et Marie Curie UPMC Text Reacutesumeacutes livres
Universiteacute
Organisme recherche
Universiteacute Paris Diderot
Recherche Agronomique pour le Deacuteveloppement
Paris VII
CIRAD
Text Audiovisual
Datasets
Articles Videacuteos
Donneacutees de la recherche
Type organisme Nom organisme Acronyme Caracteacuteristique objet
Type objet (General
Resource
Type)
Centre donneacutees
creacuteeacute
Reacutepertoire drsquoarchives
de donneacutees
Initiatives lieacutees
bull Thomson-Reuters Data Citation Index
bull European Persistant Identifier Consortium (EPIC)
bull ODIN European project (ORCID and DataCite
Interoperability Network)
bull CODATAICSTI Working Group on Data Citation
bull FORCE 11 Amsterdam Manifesto
bull OpenAIREplus project
bull Research Data Alliance
Data Citation Index
bull Discovery of data most important to
scholarly research
bull Data linked to published research literature
bull Measures of data
citation use and reuse
bull New metrics for digital
scholarship
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
Services DataCite
bull DataCite Metadata Store (MDS) Creacuteation DOI et enregistrement des meacutetadonneacutees associeacutees
httpsmdsdataciteorg
bull DataCite Metadata Search
Recherche des meacutetadonneacutees associeacutees aux jeux de donneacutees enregistreacutees dans
DataCite httpsearchdataciteorg
bull DataCite OAI Provider
Exposition des meacutetadonneacutees de DataCite en OAI-PMH
httpoaidataciteorg
bull DataCite Statistics
Statistiques enregistrement DOI et reacutesolution DOI httpstatsdataciteorg
Services DataCite
bull DOI Citation Formatter En collaboration avec CrossRef ndash Creacuteation de diffeacuterents formats de citation pour
les DOI DataCite et CrossRef httpcrossciteorgciteproc
bull Content Negotiation Exposition des meacutetadonneacutees stockeacutees dans MDS en choisissant
parmi un large eacuteventail de formats Possibiliteacute drsquoacceacuteder
directement aux donneacutees gracircce agrave un type diffeacuterent de reacutesolution de DOI
httpdatadataciteorg
bull DataCite Metadata Schema Scheacutema de meacutetadonneacutees DataCite httpschemadataciteorg
bull DataCite Test Environment httptestdataciteorg
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Organisme recherche international CEA CNRS Institut Laue-Langevin ILL Datasets Donneacutees de la recherche X
Organisme recherche
Institut Franccedilais de Recherche pour
lExploitation de la Mer IFREMER Datasets Donneacutees de la recherche X
Editeur Organisme de Recherche
Office National dEtudes et de Recherches
Aeacuterospatiales ONERA Text Articles X
Structure feacutedeacuterative recherche Universiteacute CNRS IRD Observatoire Midi-Pyreacuteneacutees OMP Datasets Donneacutees de la recherche X
Organisme recherche Centre National de Recherche Scientifique CNRS Datasets Donneacutees de la recherche X
Universiteacute Universiteacute Lorraine UL Text Manuscrits anciens X
Universiteacute Universiteacute Nouvelle-Caleacutedonie UNC Text Thegraveses X
Universiteacute CNRS Maison Reneacute Ginouvegraves MAE Film Films X
Organisme recherche
Observatoire Mammifegraveres Echantillonneurs
Milieu Oceacuteanique MEMO Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche Institut Pierre-Simon Laplace IPSL Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche CNRS Archives donneacutees issues statistiques publiques ADISP Text Enquecirctes X
Organisme recherche Centre National de Recherche Scientifique CNRS Images Image Images
Organisme recherche
Institut National de la Santeacute et de la Recherche
Meacutedicale INSERM Datasets Cohortes
Enseignement Supeacuterieur et Recherche Ecole Normale Supeacuterieure Lyon ENS Text Articles dictionnaire
Editeur Cercle de Recherche et d Action Peacutedagogique CRAP Text Articles
Structure feacutedeacuterative Universiteacute CNRS Observatoire oceacuteanologique Villefranche OBS-VLFR Datasets Donneacutees de la recherche
Structure feacutedeacuterative Universiteacute CNRS IRD Observatoire oceacuteanologique Banyuls sur Mer OBS-BANYULS Datasets Donneacutees de la recherche
Editeur Editeur Nouveau Monde Text Articles
Structure feacutedeacuterative recherche Universiteacute CNRS INP
Grenoble Grenoble Images Parole Signal Automatique GIPSA-lab Text Articles Rapports
Organisme recherche Institut national de la Recherche Agronomique INRA Datasets Donneacutees de la recherche
Organisme international
Organisation des Nations Unies pour
lEducation la Science et la Culture UNESCO Datasets Service
Donneacutees de la recherche
Services
Organisme recherche Filiale CNES Collecte Localisation Satellites CLS Datasets Donneacutees de la recherche
Enseignement Supeacuterieur et Recherche Ecole Nationale Aviation Civile ENAC Event Text Actes colloque
Structure feacutedeacuterative recherche CEA CNRS Observatoire des Micro amp Nano Technologies OMNT Text Commentaires articles
Structure feacutedeacuterative recherche Universiteacute IRISA
Institut de Recherche en Informatique et
Systegravemes Aleacuteatoires IRISA Datasets Donneacutees de la recherche
Organisme recherche Centre National de Recherche Scientifique CNRS Text Articles
Universiteacute Universiteacute Pierre et Marie Curie UPMC Text Reacutesumeacutes livres
Universiteacute
Organisme recherche
Universiteacute Paris Diderot
Recherche Agronomique pour le Deacuteveloppement
Paris VII
CIRAD
Text Audiovisual
Datasets
Articles Videacuteos
Donneacutees de la recherche
Type organisme Nom organisme Acronyme Caracteacuteristique objet
Type objet (General
Resource
Type)
Centre donneacutees
creacuteeacute
Reacutepertoire drsquoarchives
de donneacutees
Initiatives lieacutees
bull Thomson-Reuters Data Citation Index
bull European Persistant Identifier Consortium (EPIC)
bull ODIN European project (ORCID and DataCite
Interoperability Network)
bull CODATAICSTI Working Group on Data Citation
bull FORCE 11 Amsterdam Manifesto
bull OpenAIREplus project
bull Research Data Alliance
Data Citation Index
bull Discovery of data most important to
scholarly research
bull Data linked to published research literature
bull Measures of data
citation use and reuse
bull New metrics for digital
scholarship
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
Services DataCite
bull DOI Citation Formatter En collaboration avec CrossRef ndash Creacuteation de diffeacuterents formats de citation pour
les DOI DataCite et CrossRef httpcrossciteorgciteproc
bull Content Negotiation Exposition des meacutetadonneacutees stockeacutees dans MDS en choisissant
parmi un large eacuteventail de formats Possibiliteacute drsquoacceacuteder
directement aux donneacutees gracircce agrave un type diffeacuterent de reacutesolution de DOI
httpdatadataciteorg
bull DataCite Metadata Schema Scheacutema de meacutetadonneacutees DataCite httpschemadataciteorg
bull DataCite Test Environment httptestdataciteorg
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Organisme recherche international CEA CNRS Institut Laue-Langevin ILL Datasets Donneacutees de la recherche X
Organisme recherche
Institut Franccedilais de Recherche pour
lExploitation de la Mer IFREMER Datasets Donneacutees de la recherche X
Editeur Organisme de Recherche
Office National dEtudes et de Recherches
Aeacuterospatiales ONERA Text Articles X
Structure feacutedeacuterative recherche Universiteacute CNRS IRD Observatoire Midi-Pyreacuteneacutees OMP Datasets Donneacutees de la recherche X
Organisme recherche Centre National de Recherche Scientifique CNRS Datasets Donneacutees de la recherche X
Universiteacute Universiteacute Lorraine UL Text Manuscrits anciens X
Universiteacute Universiteacute Nouvelle-Caleacutedonie UNC Text Thegraveses X
Universiteacute CNRS Maison Reneacute Ginouvegraves MAE Film Films X
Organisme recherche
Observatoire Mammifegraveres Echantillonneurs
Milieu Oceacuteanique MEMO Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche Institut Pierre-Simon Laplace IPSL Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche CNRS Archives donneacutees issues statistiques publiques ADISP Text Enquecirctes X
Organisme recherche Centre National de Recherche Scientifique CNRS Images Image Images
Organisme recherche
Institut National de la Santeacute et de la Recherche
Meacutedicale INSERM Datasets Cohortes
Enseignement Supeacuterieur et Recherche Ecole Normale Supeacuterieure Lyon ENS Text Articles dictionnaire
Editeur Cercle de Recherche et d Action Peacutedagogique CRAP Text Articles
Structure feacutedeacuterative Universiteacute CNRS Observatoire oceacuteanologique Villefranche OBS-VLFR Datasets Donneacutees de la recherche
Structure feacutedeacuterative Universiteacute CNRS IRD Observatoire oceacuteanologique Banyuls sur Mer OBS-BANYULS Datasets Donneacutees de la recherche
Editeur Editeur Nouveau Monde Text Articles
Structure feacutedeacuterative recherche Universiteacute CNRS INP
Grenoble Grenoble Images Parole Signal Automatique GIPSA-lab Text Articles Rapports
Organisme recherche Institut national de la Recherche Agronomique INRA Datasets Donneacutees de la recherche
Organisme international
Organisation des Nations Unies pour
lEducation la Science et la Culture UNESCO Datasets Service
Donneacutees de la recherche
Services
Organisme recherche Filiale CNES Collecte Localisation Satellites CLS Datasets Donneacutees de la recherche
Enseignement Supeacuterieur et Recherche Ecole Nationale Aviation Civile ENAC Event Text Actes colloque
Structure feacutedeacuterative recherche CEA CNRS Observatoire des Micro amp Nano Technologies OMNT Text Commentaires articles
Structure feacutedeacuterative recherche Universiteacute IRISA
Institut de Recherche en Informatique et
Systegravemes Aleacuteatoires IRISA Datasets Donneacutees de la recherche
Organisme recherche Centre National de Recherche Scientifique CNRS Text Articles
Universiteacute Universiteacute Pierre et Marie Curie UPMC Text Reacutesumeacutes livres
Universiteacute
Organisme recherche
Universiteacute Paris Diderot
Recherche Agronomique pour le Deacuteveloppement
Paris VII
CIRAD
Text Audiovisual
Datasets
Articles Videacuteos
Donneacutees de la recherche
Type organisme Nom organisme Acronyme Caracteacuteristique objet
Type objet (General
Resource
Type)
Centre donneacutees
creacuteeacute
Reacutepertoire drsquoarchives
de donneacutees
Initiatives lieacutees
bull Thomson-Reuters Data Citation Index
bull European Persistant Identifier Consortium (EPIC)
bull ODIN European project (ORCID and DataCite
Interoperability Network)
bull CODATAICSTI Working Group on Data Citation
bull FORCE 11 Amsterdam Manifesto
bull OpenAIREplus project
bull Research Data Alliance
Data Citation Index
bull Discovery of data most important to
scholarly research
bull Data linked to published research literature
bull Measures of data
citation use and reuse
bull New metrics for digital
scholarship
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Organisme recherche international CEA CNRS Institut Laue-Langevin ILL Datasets Donneacutees de la recherche X
Organisme recherche
Institut Franccedilais de Recherche pour
lExploitation de la Mer IFREMER Datasets Donneacutees de la recherche X
Editeur Organisme de Recherche
Office National dEtudes et de Recherches
Aeacuterospatiales ONERA Text Articles X
Structure feacutedeacuterative recherche Universiteacute CNRS IRD Observatoire Midi-Pyreacuteneacutees OMP Datasets Donneacutees de la recherche X
Organisme recherche Centre National de Recherche Scientifique CNRS Datasets Donneacutees de la recherche X
Universiteacute Universiteacute Lorraine UL Text Manuscrits anciens X
Universiteacute Universiteacute Nouvelle-Caleacutedonie UNC Text Thegraveses X
Universiteacute CNRS Maison Reneacute Ginouvegraves MAE Film Films X
Organisme recherche
Observatoire Mammifegraveres Echantillonneurs
Milieu Oceacuteanique MEMO Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche Institut Pierre-Simon Laplace IPSL Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche CNRS Archives donneacutees issues statistiques publiques ADISP Text Enquecirctes X
Organisme recherche Centre National de Recherche Scientifique CNRS Images Image Images
Organisme recherche
Institut National de la Santeacute et de la Recherche
Meacutedicale INSERM Datasets Cohortes
Enseignement Supeacuterieur et Recherche Ecole Normale Supeacuterieure Lyon ENS Text Articles dictionnaire
Editeur Cercle de Recherche et d Action Peacutedagogique CRAP Text Articles
Structure feacutedeacuterative Universiteacute CNRS Observatoire oceacuteanologique Villefranche OBS-VLFR Datasets Donneacutees de la recherche
Structure feacutedeacuterative Universiteacute CNRS IRD Observatoire oceacuteanologique Banyuls sur Mer OBS-BANYULS Datasets Donneacutees de la recherche
Editeur Editeur Nouveau Monde Text Articles
Structure feacutedeacuterative recherche Universiteacute CNRS INP
Grenoble Grenoble Images Parole Signal Automatique GIPSA-lab Text Articles Rapports
Organisme recherche Institut national de la Recherche Agronomique INRA Datasets Donneacutees de la recherche
Organisme international
Organisation des Nations Unies pour
lEducation la Science et la Culture UNESCO Datasets Service
Donneacutees de la recherche
Services
Organisme recherche Filiale CNES Collecte Localisation Satellites CLS Datasets Donneacutees de la recherche
Enseignement Supeacuterieur et Recherche Ecole Nationale Aviation Civile ENAC Event Text Actes colloque
Structure feacutedeacuterative recherche CEA CNRS Observatoire des Micro amp Nano Technologies OMNT Text Commentaires articles
Structure feacutedeacuterative recherche Universiteacute IRISA
Institut de Recherche en Informatique et
Systegravemes Aleacuteatoires IRISA Datasets Donneacutees de la recherche
Organisme recherche Centre National de Recherche Scientifique CNRS Text Articles
Universiteacute Universiteacute Pierre et Marie Curie UPMC Text Reacutesumeacutes livres
Universiteacute
Organisme recherche
Universiteacute Paris Diderot
Recherche Agronomique pour le Deacuteveloppement
Paris VII
CIRAD
Text Audiovisual
Datasets
Articles Videacuteos
Donneacutees de la recherche
Type organisme Nom organisme Acronyme Caracteacuteristique objet
Type objet (General
Resource
Type)
Centre donneacutees
creacuteeacute
Reacutepertoire drsquoarchives
de donneacutees
Initiatives lieacutees
bull Thomson-Reuters Data Citation Index
bull European Persistant Identifier Consortium (EPIC)
bull ODIN European project (ORCID and DataCite
Interoperability Network)
bull CODATAICSTI Working Group on Data Citation
bull FORCE 11 Amsterdam Manifesto
bull OpenAIREplus project
bull Research Data Alliance
Data Citation Index
bull Discovery of data most important to
scholarly research
bull Data linked to published research literature
bull Measures of data
citation use and reuse
bull New metrics for digital
scholarship
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
Champs meacutetadonneacutees Table 1 DataCite Mandatory Properties
Organisme recherche international CEA CNRS Institut Laue-Langevin ILL Datasets Donneacutees de la recherche X
Organisme recherche
Institut Franccedilais de Recherche pour
lExploitation de la Mer IFREMER Datasets Donneacutees de la recherche X
Editeur Organisme de Recherche
Office National dEtudes et de Recherches
Aeacuterospatiales ONERA Text Articles X
Structure feacutedeacuterative recherche Universiteacute CNRS IRD Observatoire Midi-Pyreacuteneacutees OMP Datasets Donneacutees de la recherche X
Organisme recherche Centre National de Recherche Scientifique CNRS Datasets Donneacutees de la recherche X
Universiteacute Universiteacute Lorraine UL Text Manuscrits anciens X
Universiteacute Universiteacute Nouvelle-Caleacutedonie UNC Text Thegraveses X
Universiteacute CNRS Maison Reneacute Ginouvegraves MAE Film Films X
Organisme recherche
Observatoire Mammifegraveres Echantillonneurs
Milieu Oceacuteanique MEMO Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche Institut Pierre-Simon Laplace IPSL Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche CNRS Archives donneacutees issues statistiques publiques ADISP Text Enquecirctes X
Organisme recherche Centre National de Recherche Scientifique CNRS Images Image Images
Organisme recherche
Institut National de la Santeacute et de la Recherche
Meacutedicale INSERM Datasets Cohortes
Enseignement Supeacuterieur et Recherche Ecole Normale Supeacuterieure Lyon ENS Text Articles dictionnaire
Editeur Cercle de Recherche et d Action Peacutedagogique CRAP Text Articles
Structure feacutedeacuterative Universiteacute CNRS Observatoire oceacuteanologique Villefranche OBS-VLFR Datasets Donneacutees de la recherche
Structure feacutedeacuterative Universiteacute CNRS IRD Observatoire oceacuteanologique Banyuls sur Mer OBS-BANYULS Datasets Donneacutees de la recherche
Editeur Editeur Nouveau Monde Text Articles
Structure feacutedeacuterative recherche Universiteacute CNRS INP
Grenoble Grenoble Images Parole Signal Automatique GIPSA-lab Text Articles Rapports
Organisme recherche Institut national de la Recherche Agronomique INRA Datasets Donneacutees de la recherche
Organisme international
Organisation des Nations Unies pour
lEducation la Science et la Culture UNESCO Datasets Service
Donneacutees de la recherche
Services
Organisme recherche Filiale CNES Collecte Localisation Satellites CLS Datasets Donneacutees de la recherche
Enseignement Supeacuterieur et Recherche Ecole Nationale Aviation Civile ENAC Event Text Actes colloque
Structure feacutedeacuterative recherche CEA CNRS Observatoire des Micro amp Nano Technologies OMNT Text Commentaires articles
Structure feacutedeacuterative recherche Universiteacute IRISA
Institut de Recherche en Informatique et
Systegravemes Aleacuteatoires IRISA Datasets Donneacutees de la recherche
Organisme recherche Centre National de Recherche Scientifique CNRS Text Articles
Universiteacute Universiteacute Pierre et Marie Curie UPMC Text Reacutesumeacutes livres
Universiteacute
Organisme recherche
Universiteacute Paris Diderot
Recherche Agronomique pour le Deacuteveloppement
Paris VII
CIRAD
Text Audiovisual
Datasets
Articles Videacuteos
Donneacutees de la recherche
Type organisme Nom organisme Acronyme Caracteacuteristique objet
Type objet (General
Resource
Type)
Centre donneacutees
creacuteeacute
Reacutepertoire drsquoarchives
de donneacutees
Initiatives lieacutees
bull Thomson-Reuters Data Citation Index
bull European Persistant Identifier Consortium (EPIC)
bull ODIN European project (ORCID and DataCite
Interoperability Network)
bull CODATAICSTI Working Group on Data Citation
bull FORCE 11 Amsterdam Manifesto
bull OpenAIREplus project
bull Research Data Alliance
Data Citation Index
bull Discovery of data most important to
scholarly research
bull Data linked to published research literature
bull Measures of data
citation use and reuse
bull New metrics for digital
scholarship
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
Organisme recherche international CEA CNRS Institut Laue-Langevin ILL Datasets Donneacutees de la recherche X
Organisme recherche
Institut Franccedilais de Recherche pour
lExploitation de la Mer IFREMER Datasets Donneacutees de la recherche X
Editeur Organisme de Recherche
Office National dEtudes et de Recherches
Aeacuterospatiales ONERA Text Articles X
Structure feacutedeacuterative recherche Universiteacute CNRS IRD Observatoire Midi-Pyreacuteneacutees OMP Datasets Donneacutees de la recherche X
Organisme recherche Centre National de Recherche Scientifique CNRS Datasets Donneacutees de la recherche X
Universiteacute Universiteacute Lorraine UL Text Manuscrits anciens X
Universiteacute Universiteacute Nouvelle-Caleacutedonie UNC Text Thegraveses X
Universiteacute CNRS Maison Reneacute Ginouvegraves MAE Film Films X
Organisme recherche
Observatoire Mammifegraveres Echantillonneurs
Milieu Oceacuteanique MEMO Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche Institut Pierre-Simon Laplace IPSL Datasets Donneacutees de la recherche X
Structure feacutedeacuterative recherche CNRS Archives donneacutees issues statistiques publiques ADISP Text Enquecirctes X
Organisme recherche Centre National de Recherche Scientifique CNRS Images Image Images
Organisme recherche
Institut National de la Santeacute et de la Recherche
Meacutedicale INSERM Datasets Cohortes
Enseignement Supeacuterieur et Recherche Ecole Normale Supeacuterieure Lyon ENS Text Articles dictionnaire
Editeur Cercle de Recherche et d Action Peacutedagogique CRAP Text Articles
Structure feacutedeacuterative Universiteacute CNRS Observatoire oceacuteanologique Villefranche OBS-VLFR Datasets Donneacutees de la recherche
Structure feacutedeacuterative Universiteacute CNRS IRD Observatoire oceacuteanologique Banyuls sur Mer OBS-BANYULS Datasets Donneacutees de la recherche
Editeur Editeur Nouveau Monde Text Articles
Structure feacutedeacuterative recherche Universiteacute CNRS INP
Grenoble Grenoble Images Parole Signal Automatique GIPSA-lab Text Articles Rapports
Organisme recherche Institut national de la Recherche Agronomique INRA Datasets Donneacutees de la recherche
Organisme international
Organisation des Nations Unies pour
lEducation la Science et la Culture UNESCO Datasets Service
Donneacutees de la recherche
Services
Organisme recherche Filiale CNES Collecte Localisation Satellites CLS Datasets Donneacutees de la recherche
Enseignement Supeacuterieur et Recherche Ecole Nationale Aviation Civile ENAC Event Text Actes colloque
Structure feacutedeacuterative recherche CEA CNRS Observatoire des Micro amp Nano Technologies OMNT Text Commentaires articles
Structure feacutedeacuterative recherche Universiteacute IRISA
Institut de Recherche en Informatique et
Systegravemes Aleacuteatoires IRISA Datasets Donneacutees de la recherche
Organisme recherche Centre National de Recherche Scientifique CNRS Text Articles
Universiteacute Universiteacute Pierre et Marie Curie UPMC Text Reacutesumeacutes livres
Universiteacute
Organisme recherche
Universiteacute Paris Diderot
Recherche Agronomique pour le Deacuteveloppement
Paris VII
CIRAD
Text Audiovisual
Datasets
Articles Videacuteos
Donneacutees de la recherche
Type organisme Nom organisme Acronyme Caracteacuteristique objet
Type objet (General
Resource
Type)
Centre donneacutees
creacuteeacute
Reacutepertoire drsquoarchives
de donneacutees
Initiatives lieacutees
bull Thomson-Reuters Data Citation Index
bull European Persistant Identifier Consortium (EPIC)
bull ODIN European project (ORCID and DataCite
Interoperability Network)
bull CODATAICSTI Working Group on Data Citation
bull FORCE 11 Amsterdam Manifesto
bull OpenAIREplus project
bull Research Data Alliance
Data Citation Index
bull Discovery of data most important to
scholarly research
bull Data linked to published research literature
bull Measures of data
citation use and reuse
bull New metrics for digital
scholarship
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
Reacutepertoire drsquoarchives
de donneacutees
Initiatives lieacutees
bull Thomson-Reuters Data Citation Index
bull European Persistant Identifier Consortium (EPIC)
bull ODIN European project (ORCID and DataCite
Interoperability Network)
bull CODATAICSTI Working Group on Data Citation
bull FORCE 11 Amsterdam Manifesto
bull OpenAIREplus project
bull Research Data Alliance
Data Citation Index
bull Discovery of data most important to
scholarly research
bull Data linked to published research literature
bull Measures of data
citation use and reuse
bull New metrics for digital
scholarship
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
Initiatives lieacutees
bull Thomson-Reuters Data Citation Index
bull European Persistant Identifier Consortium (EPIC)
bull ODIN European project (ORCID and DataCite
Interoperability Network)
bull CODATAICSTI Working Group on Data Citation
bull FORCE 11 Amsterdam Manifesto
bull OpenAIREplus project
bull Research Data Alliance
Data Citation Index
bull Discovery of data most important to
scholarly research
bull Data linked to published research literature
bull Measures of data
citation use and reuse
bull New metrics for digital
scholarship
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
Data Citation Index
bull Discovery of data most important to
scholarly research
bull Data linked to published research literature
bull Measures of data
citation use and reuse
bull New metrics for digital
scholarship
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
Data Citation Index ndash types de
donneacutees par disciplines
ART amp HUMANITIES
CULTURAL HERITAGE
LANGUAGE CORPUS
IMAGE COLLECTIONS
RECORDINGS
SOCIAL SCIENCES
POLL DATA
ECONOMIC
STATISTICS
LONGITUDINAL DATA
NATIONAL CENSUS
PUBLIC OPINION
SURVEYS
SCIENCE amp
TECHNOLOGY
MAPS
ALGORITHMS
GENOMICS
SKY SURVEYS
ASTROPHYSICS
REMOTE SENSING
MUSEUM SPECIMENS
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
Data Citation
Index
Repository 1
Repository 2
Repository 3
Partenariat avec DataCite
DataCite
Repository 1
Repository 2
Repository 3
Data
Citation
Index
DataCite
Principe moissonnage meacutetadonneacutees DataCite par lrsquoindex de citation de
donneacutees Thomson Reuters et retour citation DOI par drsquoautres ressources
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
ORCID and DataCite Interoperability Network
laquo ODIN will build on the
ORCID and DataCite
initiatives to uniquely identify
scientists and data sets and
connect this information across multiple services and
infrastructures for scholarly
communication
It will address some of the critical open questions in the
area Referencing a data
object Tracking of use and
re-use Links between a data
object subsets articles rights statements and every
person involved in its life-
cycle raquo
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
httpwwwcodataorgtaskgroupsTGdatacitationindexhtml
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
Comment nous contacter datasetsinistfr
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
THE CONSENSUS 8 PRINCIPLES
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
1 IMPORTANCE
Data should be considered legitimate
citable products of research Data
citations should be accorded the same
importance in the scholarly record as
citations of other research objects
such as publications
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
2 CREDIT AND ATTRIBUTION
Data citations should facilitate giving
scholarly credit and normative and
legal attribution to all contributors to
the data recognizing that a single
style or mechanism of attribution may
not be applicable to all data
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
3 EVIDENCE
Where a specific claim rests upon data
the corresponding data citation should
be provided
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
4 UNIQUE IDENTIFIERS
A data citation should include a
persistent method for identification
that is machine actionable globally
unique and widely used by a
community
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
5 ACCESS
Data citations should facilitate
access to the data themselves and to
such associated metadata
documentation and other materials
as are necessary for both humans
and machines to make informed use
of the referenced data
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
6 PERSISTENCE
Metadata describing the data and
unique identifiers should persist
even beyond the lifespan of the data
they describe
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
7 VERSIONING AND
GRANULARITY
Data citations should facilitate
identification and access to different
versions andor subsets of data
Citations should include sufficient detail
to verifiably link the citing work to the
portion and version of data cited
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
8 INTEROPERABILITY AND
FLEXIBILITY
Data citation methods should be
sufficiently flexible to accommodate
the variant practices among
communities but should not differ so
much that they compromise
interoperability of data citation
practices across communities
