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A data citation roadmap for scholarly data repositories.

Martin Fenner1, Mercè Crosas2, Jeffrey S Grethe3

  • 1DataCite, Hannover, Germany.

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|April 12, 2019
PubMed
Summary
This summary is machine-generated.

This roadmap guides scholarly data repositories on implementing data citation principles. It offers practical steps for better data discoverability and reuse, enhancing research reproducibility.

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Area of Science:

  • Scholarly communication
  • Data management
  • Scientific publishing

Background:

  • Scholarly data repositories need standardized methods for data citation.
  • Existing recommendations from science policy bodies require harmonization.
  • The Data Citation Implementation Pilot (DCIP) project addresses this need.

Purpose of the Study:

  • To present a practical roadmap for implementing data citation in scholarly data repositories.
  • To align repository practices with the Joint Declaration of Data Citation Principles.
  • To offer phased recommendations for improved data citation support.

Main Methods:

  • Development of a roadmap by the Repositories Expert Group.
  • Harmonization of recommendations from major science policy bodies.
  • Grouping of 11 specific recommendations into three implementation phases (required, recommended, optional).

Main Results:

  • A phased roadmap with 11 recommendations for data repositories.
  • Early adoption of recommendations, focusing on machine-readable metadata on dataset landing pages, is described.
  • Assessment of progress 18 months post-publication of the recommendations.

Conclusions:

  • The roadmap provides a structured approach for repositories to enhance data citation.
  • Early adoption indicates a move towards better data discoverability and reproducibility.
  • Machine-readable metadata is a key component for effective data citation implementation.