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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

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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))

  • 1. 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
  • 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 <bit.ly/dsynthrev>
  • 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