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A Data Citation Roadmap for Scholarly Data Repositories

View ORCID ProfileMartin Fenner, View ORCID ProfileMerce Crosas, View ORCID ProfileJeffrey S. Grethe, View ORCID ProfileDavid Kennedy, View ORCID ProfileHenning Hermjakob, View ORCID ProfilePhilippe Rocca-Serra, View ORCID ProfileRobin Berjon, View ORCID ProfileSebastian Karcher, View ORCID ProfileMaryann Martone, View ORCID ProfileTim Clark
doi: https://doi.org/10.1101/097196
Martin Fenner
aDataCite, Hannover, Germany
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Merce Crosas
bInstitute for Quantitative Social Science, Harvard University, Cambridge, MA, USA
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Jeffrey S. Grethe
cCenter for Research in Biological Systems (CRBS), University of California, San Diego, CA, USA
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David Kennedy
dDepartment of Psychiatry, University of Massachusetts Medical School, Worcester, MA, USA
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Henning Hermjakob
eEuropean Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
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Philippe Rocca-Serra
fOxford e-Research Centre, University of Oxford, Oxford, UK
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Robin Berjon
gStandard Analytics, New York, NY, USA
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Sebastian Karcher
hQualitative Data Repository, Syracuse University, Syracuse, NY, USA
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Maryann Martone
iDepartment of Neurosciences, University of California, San Diego, CA, USA
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Tim Clark
jMassachusetts General Hospital, Boston, MA, USA
kHarvard Medical School, Boston, MA, USA
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Abstract

This article presents a practical roadmap for scholarly data repositories to implement data citation in accordance with the Joint Declaration of Data Citation Principles (Data Citation Synthesis Group, 2014), a synopsis and harmonization of the recommendations of major science policy bodies. The roadmap was developed by the Repositories Early Adopters Expert Group, part of the Data Citation Implementation Pilot (DCIP) project (FORCE11, 2015), an initiative of FORCE11.org and the NIH BioCADDIE (2016) program. The roadmap makes 11 specific recommendations, grouped into three phases of implementation: a) required steps needed to support the Joint Declaration of Data Citation Principles, b) recommended steps that facilitate article/data publication workflows, and c) optional steps that further improve data citation support provided by data repositories.

Published on behalf of the DCIP Repositories Early Adopters Expert Group. A full list of members appears in Appendix A.

  • Glossary

    Dataset identifier
    The Identifier is a unique string that identifies a resource.
    Title
    A name or title by which a resource is known.
    Creator
    The main researchers involved in producing the data.
    Data repository/Publisher
    The publisher is usually the data repository which hosts and guarantees the persistence of the landing page.
    Publication date
    The year when the data was or will be made publicly available.
    Version
    The version number of the resource.
    Type
    The general type of a resource.
  • Copyright 
    The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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    Posted December 28, 2016.
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    A Data Citation Roadmap for Scholarly Data Repositories
    Martin Fenner, Merce Crosas, Jeffrey S. Grethe, David Kennedy, Henning Hermjakob, Philippe Rocca-Serra, Robin Berjon, Sebastian Karcher, Maryann Martone, Tim Clark
    bioRxiv 097196; doi: https://doi.org/10.1101/097196
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    A Data Citation Roadmap for Scholarly Data Repositories
    Martin Fenner, Merce Crosas, Jeffrey S. Grethe, David Kennedy, Henning Hermjakob, Philippe Rocca-Serra, Robin Berjon, Sebastian Karcher, Maryann Martone, Tim Clark
    bioRxiv 097196; doi: https://doi.org/10.1101/097196

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