Joan Starr
California Digital Library
@joan_starr
Data Citation
A Joint Declaration of Principles
Some things take a long time to build…
2 big ideas
"sound, reproducible scholarship rests upon a foundation of
robust, accessible data"
2 big ideas
"sound, reproducible scholarship rests upon a foundation of
robust, accessible data"
2 big ideas
"data should be considered legitimate, citable products of
research"
2 big ideas
"data should be considered legitimate, citable products of
research"
25+ organizations helped, including..
Joint Declaration of Data Citation Principles
1 Importance
2 Credit and Attribution
3 Evidence
4 Unique Identification
5 A...
Joint Declaration
Data should be considered legitimate, citable products of
research. Data citations should be accorded th...
Data citations should facilitate giving scholarly credit and
normative and legal attribution to all contributors to the
da...
In scholarly literature, whenever and wherever a claim relies
upon data, the corresponding data should be cited.
3. Eviden...
A data citation should include a persistent method for
identification that is machine actionable, globally unique, and
wid...
Data citations should facilitate access to the data themselves
and to such associated metadata, documentation, code, and
o...
Unique identifiers, and metadata describing the data, and its
disposition, should persist -- even beyond the lifespan of t...
Data citations should facilitate identification of, access
to, and verification of the specific data that support a
claim....
Data citation methods should be sufficiently flexible to
accommodate the variant practices among communities, but
should n...
46 organizational endorsements, including…
Endorsement: https://www.force11.org/datacitation/endorsements
An implementation example
Dataverse generates a data citation for each
deposited dataset compliant with the principles.
Pr...
Implementation Suggestions for Publishers
• Establish and enforce a mandatory data availability policy
• Upgrade data cita...
https://www.force11.org/datacitation
Join the discussions…
Implementation Group, Dissemination Group
Re-use these slides: ...
Data Citation: A Joint Declaration of Principles
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Data Citation: A Joint Declaration of Principles

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Presentation at HighWire 2014 Annual Meeting, covering the recent Joint Declaration of Data Citation Principles

Published in: Education, Technology
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  • Image: https://www.flickr.com/photos/statuelibrtynps/6276757947This is a photo of the construction of the pedestal of the Statue of Liberty. Just the pedestal took 2 years to build. It puts some of our work into perspective.
  • Image: https://www.flickr.com/photos/statuelibrtynps/6276757947This is a photo of the construction of the pedestal of the Statue of Liberty. Just the pedestal took 2 years to build. It puts some of our work into perspective.The current effort has its roots in the 1st Beyond the PDF Conference in 2011.
  • Harvard’s DataVerse repository.Jt. Declaration of Data Citation Principles, hosted by FORCE 11, “The Future of Research Communications and e-Scholarship”, founded in 2011Decades of research and practices in data citation consolidated to a single set of principles. Launched February 2014.
  • Harvard’s DataVerse repository.Jt. Declaration of Data Citation Principles, hosted by FORCE 11, “The Future of Research Communications and e-Scholarship”, founded in 2011Decades of research and practices in data citation consolidated to a single set of principles. Launched February 2014.
  • Dryad Data RepositoryJt. Declaration of Data Citation Principles, hosted by FORCE 11, “The Future of Research Communications and e-Scholarship”, founded in 2011Decades of research and practices in data citation consolidated to a single set of principles. Launched February 2014.
  • Dryad Data RepositoryJt. Declaration of Data Citation Principles, hosted by FORCE 11, “The Future of Research Communications and e-Scholarship”, founded in 2011Decades of research and practices in data citation consolidated to a single set of principles. Launched February 2014.
  • 36 members, ~ 20 organizationsWeekly meetings for 3 months, led by Force 11 (Future of Research Communications and eScholarship) Comparison of 4 sets of principles: Amsterdam ManifestoCoData Data Citation Principles DataCite Data Citation Principles Digital Data Center Data Citation PrinciplesMerge them to create a synthesis set of principles - high level and simpleAnd there was an open call to a broad community for input in the late fall.
  • Here is what we came up with. Now let’s dive in…
  • Image: https://www.flickr.com/photos/svenwerk/506579282#1: Importance
  • Image: http://www.flickr.com/photos/ggunson/16900719#2: Credit and Attribution
  • Image: http://www.flickr.com/photos/8395214@N06/2441779856#3: Evidence
  • Image: http://www.doi.org/#4: Unique Identification
  • Image: http://www.flickr.com/photos/mag3737/8755090129#5: Access
  • Image: http://www.flickr.com/photos/azwegers/6691014193#6: Persistence
  • Image: by Joan Starr#7: Specificity and Verifiability
  • Image: Image: http://www.flickr.com/photos/29261875@N05/6410305335#8: Interoperability and flexibility
  • This is an example from the world of data repositories…Merce’s, as a matter of fact.*Universal Numerical Fingerprint (UNF) #1=Data should have equal Importance#3=Evidence—provide a citation wherever data is used as evidence to back up a claim.
  • Data Citation: A Joint Declaration of Principles

    1. 1. Joan Starr California Digital Library @joan_starr Data Citation A Joint Declaration of Principles
    2. 2. Some things take a long time to build…
    3. 3. 2 big ideas "sound, reproducible scholarship rests upon a foundation of robust, accessible data"
    4. 4. 2 big ideas "sound, reproducible scholarship rests upon a foundation of robust, accessible data"
    5. 5. 2 big ideas "data should be considered legitimate, citable products of research"
    6. 6. 2 big ideas "data should be considered legitimate, citable products of research"
    7. 7. 25+ organizations helped, including..
    8. 8. Joint Declaration of Data Citation Principles 1 Importance 2 Credit and Attribution 3 Evidence 4 Unique Identification 5 Access 6 Persistence 7 Specificity and Verifiability 8 Interoperability and flexibility Full Principles: https://www.force11.org/datacitation
    9. 9. Joint Declaration 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. 1. Importance
    10. 10. 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. 2. Credit and Attribution Joint Declaration
    11. 11. In scholarly literature, whenever and wherever a claim relies upon data, the corresponding data should be cited. 3. Evidence Joint Declaration
    12. 12. A data citation should include a persistent method for identification that is machine actionable, globally unique, and widely used by a community. 4. Unique identification etc.. Joint Declaration
    13. 13. Data citations should facilitate access to the data themselves and to such associated metadata, documentation, code, and other materials, as are necessary for both humans and machines to make informed use of the referenced data. 5. Access Joint Declaration
    14. 14. Unique identifiers, and metadata describing the data, and its disposition, should persist -- even beyond the lifespan of the data they describe. 6. Persistence Joint Declaration
    15. 15. Data citations should facilitate identification of, access to, and verification of the specific data that support a claim. Citations or citation metadata should include information about provenance and fixity sufficient to facilitate verifying that the specific timeslice, version and/or granular portion of data retrieved subsequently is the same as was originally cited. 7. Specificity and Verifiability Joint Declaration
    16. 16. 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 Joint Declaration
    17. 17. 46 organizational endorsements, including… Endorsement: https://www.force11.org/datacitation/endorsements
    18. 18. An implementation example Dataverse generates a data citation for each deposited dataset compliant with the principles. Principle 2: Credit and Attribution Principle 4, 5, 6: Unique Id Access Persistence Principle 7: Specificity and Verifiability Dataverse exports all citation metadata in XML, JSON formats Principle 8: Interoperability and flexibility Creators, Year, Dataset Title, DOI, Data Repository, UNF, version (Resolves to landing page with access to metadata, docs, and data) Slide from Mercè Crosas, Ph.D. Harvard University
    19. 19. Implementation Suggestions for Publishers • Establish and enforce a mandatory data availability policy • Upgrade data citation to references section • In articles, cite data by claim • Provide data citation guidelines for authors • Recommend data repositories compliant with the Principles • Build tools to access machine-readable metadata from datasets • Endorse the principles and have an internal conversation about them: https://www.force11.org/datacitation/endorsements
    20. 20. https://www.force11.org/datacitation Join the discussions… Implementation Group, Dissemination Group Re-use these slides: slideshare.net/joanstarr Contact me: joan.starr@ucop.edu Spread the word…
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