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. 2019 Apr 10;6(1):28.
doi: 10.1038/s41597-019-0031-8.

A data citation roadmap for scholarly data repositories

Martin Fenner  1 , Mercè Crosas  2 , Jeffrey S Grethe  3 , David Kennedy  4 , Henning Hermjakob  5 , Phillippe Rocca-Serra  6 , Gustavo Durand  2 , Robin Berjon  7 , Sebastian Karcher  8 , Maryann Martone  3 , Tim Clark  9
Affiliations

A data citation roadmap for scholarly data repositories

Martin Fenner et al. Sci Data. .

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, a synopsis and harmonization of the recommendations of major science policy bodies. The roadmap was developed by the Repositories Expert Group, as part of the Data Citation Implementation Pilot (DCIP) project, an initiative of FORCE11.org and the NIH-funded BioCADDIE ( https://biocaddie.org ) project. 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. We describe the early adoption of these recommendations 18 months after they have first been published, looking specifically at implementations of machine-readable metadata on dataset landing pages.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Generic data citation - relationships of the citation reference, repository landing page and underlying data.
Fig. 2
Fig. 2
Providing information about how a dataset should be cited, with download link for citation (in BibTex or other standard bibliographic reference manager format).
Fig. 3
Fig. 3
Implementation status of Schema.org metadata in repository landing pages.
See this image and copyright information in PMC

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References

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