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

A data citation roadmap for scholarly data repositories.

Author information

1
DataCite, Hannover, Germany.
2
Institute for Quantitative Social Science, Harvard University, Cambridge, MA, USA.
3
University of California San Diego, La Jolla, CA, USA.
4
University of Massachusetts Medical School, Worcester, MA, USA.
5
European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Hinxton, Cambridgeshire, UK.
6
Oxford e-Research Centre, University of Oxford, Oxford, UK.
7
Standard Analytics, New York, NY, USA.
8
Qualitative Data Repository, Syracuse University, Syracuse, NY, USA.
9
University of Virginia School of Medicine, Charlottesville, VA, 22903, USA. twc8q@virginia.edu.

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.

PMID:
30971690
PMCID:
PMC6472386
DOI:
10.1038/s41597-019-0031-8
[Indexed for MEDLINE]
Free PMC Article

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