2. Overview of the working group Approved at CODATA General
Assembly 2010 Co sponsored by ICSTI and supported by the US
National Committee for CODATA Objectives: Examine key issues
related to data identification, attribution citation and linking
Help coordinate activities internationally Promote common practices
and standards 3. CODATA Data Citation Task Group Co-Chairs: Jan
Brase,(Director, DataCite, and ICSTI representative), Technische
Informations Bibliothek (TIB)/German National Library of Science
and Technology, GERMANY Sarah Callaghan (U.K. CODATA), The NCAS
British Atmospheric Data Centre, STFC Rutherford Appleton
Laboratory, UNITED KINGDOM Christine Borgman, University of
California, Los Angeles, USA Members: Micah Altman MIT Libraries
USA Elizabeth Arnaud Bioversity International ITALY Todd Carpenter
National Information Standards Organization USA Vishwas Chavan
Global Biodiversity Information Facility DENMARK Paul Groth VU
University of Amsterdam THE NETHERLANDS Mark Hahnel FigShare UNITED
KINGDOM John Helly Scripps Institution of Oceanography, Climate,
Atmospheric Science, and Physical Oceanography USA Puneet Kishor
Creative Commons USA Jianhui LI Chinese Academy of Sciences CHINA
Franciel Azpurua Linares Information International Associates, USA
Karen Morgenroth National Research Council Canada CANADA Yasuhiro
Murayama National Institute of Information and Communications
Technology JAPAN Fiona Murphy Wiley Europe Ltd UNITED KINGDOM Giri
Palanisami Oak Ridge National Laboratory USA Mark Parsons Research
Data Alliance/U.S. Center for a Digital Society USA Soren Roug
European Environmental Agency BELGIUM Helge Sagen Institute of
Marine Research NORWAY Eefke Smit International Association of STM
Publishers, THE NETHERLANDS Martie J. van Deventer CSIR South
Africa SOUTH AFRICA Michael Witt Purdue University Libraries USA
Koji Zettsu National Institute of Information and Communications
Technology, JAPANConsultants: William L. Anderson Associate Editor
CODATA Data Science Journal USA. Daniel Cohen NRC Board on Research
Data and Information, and U.S. Committee for CODATA [on detail from
the Library of Congress] USA Yvonne Socha University of Tennessee
USA Project Director: Paul Uhlir U.S. National Committee for
CODATA, USA CODATA EC Liaison: Bonnie Carroll (U.S. CODATA and
CENDI) Information International Associates USA 4. Other
Organizations Working on Data Citation International Council for
Scientific and Technical Information (ICSTI) DataCite The Dataverse
Network National Information Standards Organization (NISO) Creative
Commons and Science Commons CENDI U.S. interagency group focused on
scientific and technical information issues and coordination of
activities. Global Biodiversity Information Facility (GBIF) World
Data System (WDS) STM-Association Digital Curation Center, UK
Research Data Alliance (RDA) and many more 5. TG Work Products
Inventory and analysis of existing literature on data citation and
attribution Interviews with a sample of identified stakeholders
concerning data citation and attribution practices Data
Repositories Publishers Researchers Funding Organizations Public
web presence on the CODATA site Symposium and Workshop, Berkeley,
CA August 2011: For Attribution: Developing Data Attribution and
Citation Practices and Standards 3 Track session at CODATA 2012 on
Data Publishing and Data Citation in Cooperation with the WDS
Report on Current Activities and Best Practices in Data Citation 6.
Out of Cite, Out of Mind: Report of the CODATA Task Group on Data
Citation The report was published by the CODATA Data Science
Journal on 13 September 2013 Free and open at:
https://www.jstage.jst.go.jp/article/dsj/12/0/12_OSOM13-
043/_article 7. First Principles for Data Citation 1. Status of
Data: Data citations should be accorded the same importance in the
scholarly record as the citation of other objects. 2. Attribution:
A citation to data should facilitate giving scholarly credit and
legal attribution to all parties responsible for those data. 3.
Persistence: Citations should refer to objects that persist. 4.
Access: Citations should facilitate access to data by humans and by
machines. 5. Discovery: Citations should support the discovery of
data and their documentation. 8. First Principles for Data Citation
6. Provenance: Citations should facilitate the establishment of
provenance of data. 7. Granularity: Citations should support the
finest-grained description necessary to identify the data. 8.
Verifiability: Citations should contain information sufficient to
identify the data unambiguously. 9. Metadata Standards: Citations
should employ existing metadata standards. 10. Flexibility:
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 across communities..
9. Thanks to Micah Altman 10. Thanks to Micah Altman <
bit.ly/dsynthrev > 11. What next for the Task Group? Continue
work on harmonisation of existing data citation principles Compile
examples of best practice in data citation Continue interactions
with DataCite, Force 11, RDA and others CODATA General Assembly,
New Delhi, Autumn 2014 12. FUNDING We are grateful to the following
funders of this project: CODATA Sloan Foundation Institute for
Museum and Library Services Library of Congress Microsoft Research
13. Further information: [email protected]
[email protected] [email protected]
[email protected]