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.
Highlights
The Joint Declaration of Data Citation Principles (JDDCP) published in 20141 and endorsed by a large number of scholarly and academic publishing organizations, lays out a set of principles on purpose, function and attributes of data citations
The guidelines are grouped into three phases: required, recommended and optional. Implementing these guidelines takes time and resources, it is critical to provide specific guidelines, and to give guidance on priorities: work needed to support the Joint Declaration of Data Citation Principles, additional work to facilitate article/data publishing workflows in collaboration with publishers, and extra work to support data citation that can be done by data repositories
A data citation must include a persistent method for identification that is machine actionable, globally unique, and widely used by a community (JDDCP, principle #4)
Summary
The Joint Declaration of Data Citation Principles (JDDCP) published in 20141 and endorsed by a large number of scholarly and academic publishing organizations, lays out a set of principles on purpose, function and attributes of data citations. The roadmap presented here aims to provide practical guidance for repositories on implementing these data citation principles with a focus on life sciences, based on earlier work in this area, in particular Starr et al.[6] and Altman and Crosas[7], and are consistent with recent recommendations regarding data, code and workflows[8,9]. These recommendations for data repositories complement the DCIP project recommendations for publishers[10] and for globally unique resolution of Compact Identifiers[11]. While related recommendations might differ in implementation detail, we do not know of any conflicting recommendations that the reader should be aware of
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