A data citation roadmap for scholarly data repositories.

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Bibliographic Details
Title: A data citation roadmap for scholarly data repositories.
Authors: Fenner M; DataCite, Hannover, Germany., Crosas M; Institute for Quantitative Social Science, Harvard University, Cambridge, MA, USA., Grethe JS; University of California San Diego, La Jolla, CA, USA., Kennedy D; University of Massachusetts Medical School, Worcester, MA, USA., Hermjakob H; European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Hinxton, Cambridgeshire, UK., Rocca-Serra P; Oxford e-Research Centre, University of Oxford, Oxford, UK., Durand G; Institute for Quantitative Social Science, Harvard University, Cambridge, MA, USA., Berjon R; Standard Analytics, New York, NY, USA., Karcher S; Qualitative Data Repository, Syracuse University, Syracuse, NY, USA., Martone M; University of California San Diego, La Jolla, CA, USA., Clark T; University of Virginia School of Medicine, Charlottesville, VA, 22903, USA. twc8q@virginia.edu.
Source: Scientific data [Sci Data] 2019 Apr 10; Vol. 6 (1), pp. 28. Date of Electronic Publication: 2019 Apr 10.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:2052-4463
DOI:10.1038/s41597-019-0031-8