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A data citation roadmap for scholarly data repositories
- Source :
- Scientific Data, Scientific Data, Vol 6, Iss 1, Pp 1-9 (2019), Scientific data, vol 6, iss 1
- Publication Year :
- 2017
-
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.
- Subjects :
- Statistics and Probability
010504 meteorology & atmospheric sciences
Computer science
Information Dissemination
Declaration
Library science
Datasets as Topic
Information Storage and Retrieval
Harmonization
Guidelines as Topic
Library and Information Sciences
01 natural sciences
Scholarly communication
Data publication and archiving
Article
Education
Data citation
World Wide Web
03 medical and health sciences
Databases
0302 clinical medicine
Computational platforms and environments
lcsh:Science
Implementation
GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries)
030304 developmental biology
0105 earth and related environmental sciences
0303 health sciences
Computer Science Applications
Scholarly Communication
Metadata
Workflow
Science policy
lcsh:Q
Preprint
Statistics, Probability and Uncertainty
030217 neurology & neurosurgery
Information Systems
Subjects
Details
- ISSN :
- 20524463
- Volume :
- 6
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Scientific data
- Accession number :
- edsair.doi.dedup.....2e001ecdd183edc9cafec648d4679b70