The following article was published today (April 10, 2019) by Scientific Data.
Title
A Data Citation Roadmap For Scholarly Data Repositories
Authors
Martin Fenner
DataCite
Mercè Crosas
Harvard University
Jeffrey S. Grethe
University of California San Diego
David Kennedy
University of Massachusetts Medical School
Henning Hermjakob
European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory
Phillippe Rocca-Serra
University of Oxford
Gustavo Durand
Harvard University
Robin Berjon
Standard Analytics
Sebastian Karcher
Syracuse University
Maryann Martone
University of California San Diego
Tim Clark
University of Virginia School of Medicine
Source
Scientific Data
Volume 6, Article number: 28 (2019)
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 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.
Direct to Full Text Article
See Also: Journal Article: “A Data Citation Roadmap for Scientific Publishers”
Published November 20, 2018.
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