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2013 DataCite Summer Meeting - Out of Cite, Out of Mind: Report of the CODATA Task Group on Data Citation (Sarah Callaghan - British Atmospheric Data Centre (BADC))

2013 DataCite Summer Meeting - Out of Cite, Out of Mind: Report of the CODATA Task Group on Data Citation (Sarah Callaghan - British Atmospheric Data Centre (BADC))



2013 DataCite Summer Meeting - Making Research better ...

2013 DataCite Summer Meeting - Making Research better

DataCite. Co-sponsored by CODATA.

Thursday, 19 September 2013 at 13:00 - Friday, 20 September 2013 at 12:30

Washington, DC. National Academy of Sciences




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    2013 DataCite Summer Meeting - Out of Cite, Out of Mind: Report of the CODATA Task Group on Data Citation (Sarah Callaghan - British Atmospheric Data Centre (BADC)) 2013 DataCite Summer Meeting - Out of Cite, Out of Mind: Report of the CODATA Task Group on Data Citation (Sarah Callaghan - British Atmospheric Data Centre (BADC)) Presentation Transcript

    • Out of Cite, Out of Mind: Report of the CODATA Task Group on Data Citation DataCite Meeting, 19 September 2013 Co-Chairs Jan Brase, Germany Jan.Brase@tib.uni-hannover.de Christine Borgman, US borgman@gseis.ucla.edu Sarah Callaghan, UK (@sorcha_ni Presenter) sarah.callaghan@stfc.ac.uk Support: Paul Uhlir, US puhlir@nas.edu
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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.
    • 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..
    • Thanks to Micah Altman <bit.ly/dsynthrev>
    • Thanks to Micah Altman < bit.ly/dsynthrev >
    • 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
    • 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
    • Further information: borgman@gseis.ucla.edu Jan.Brase@tib.uni-hannover.de sarah.callaghan@stfc.ac.uk puhlir@nas.edu