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. 2018 Nov 20:5:180259.
doi: 10.1038/sdata.2018.259.

A data citation roadmap for scientific publishers

Helena Cousijn  1 , Amye Kenall  2 , Emma Ganley  3 , Melissa Harrison  4 , David Kernohan  5 , Thomas Lemberger  6 , Fiona Murphy  7 , Patrick Polischuk  8 , Simone Taylor  9 , Maryann Martone  10 , Tim Clark  11   12
Affiliations

A data citation roadmap for scientific publishers

Helena Cousijn et al. Sci Data. .

Abstract

This article presents a practical roadmap for scholarly publishers to implement data citation in accordance with the Joint Declaration of Data Citation Principles (JDDCP), a synopsis and harmonization of the recommendations of major science policy bodies. It was developed by the Publishers Early Adopters Expert Group as part of the Data Citation Implementation Pilot (DCIP) project, an initiative of FORCE11.org and the NIH BioCADDIE program. The structure of the roadmap presented here follows the "life of a paper" workflow and includes the categories Pre-submission, Submission, Production, and Publication. The roadmap is intended to be publisher-agnostic so that all publishers can use this as a starting point when implementing JDDCP-compliant data citation. Authors reading this roadmap will also better know what to expect from publishers and how to enable their own data citations to gain maximum impact, as well as complying with what will become increasingly common funder mandates on data transparency.

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Conflict of interest statement

Scientific Data is published by Springer Nature, one of the participating publishers and authors.

Figures

Figure 1
Figure 1. Data citation example.
(1) Data citation in text; (2) Reference; (3) Globally resolvable unique identifier. Example from Beresford NA, et al. (2016). Available at https://doi.org/10.1016/j.jenvrad.2015.03.022.
Figure 2
Figure 2. Data citation resolution structure (ideal workflow).
Articles (1) link to datasets in appropriate repositories, on which their conclusions are based, through citation to a dataset (a), whose unique persistent identifier (PID) resolves (b) to a landing page (2) in a well-supported data repository. The data landing page contains human- and machine-readable metadata, to support search and to resolve (c) back to the citing article, and (d) a link to the data itself (3).
Figure 3
Figure 3. Example of a Data Availability Statement.
Taken from Ma et al.. Available at https://doi.org/10.1186/s13059-018-1435-z.
See this image and copyright information in PMC

References

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    1. Hodson S. & Molloy L. Current best practice for research data management policies. Zenodo 10.5281/zenodo.27872 (2015). - DOI
    1. Committee on Ensuring the Utility and Integrity of Research Data in a Digital Age. Ensuring the integrity, accessibility, and stewardship of research data in the digital age. (The National Academies Press, 2009). - PubMed
    1. Royal Society. Science as an open enterprise. (The Royal Society Science Policy Center: London, 2012).

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