Abstract

An output of the Data policy standardisation and implementation Interest Group (IG) of the Research Data Alliance (RDA) More journals and publishers – and funding agencies and institutions – are introducing research data policies. But as the prevalence of policies increases, there is potential to confuse researchers and support staff with numerous or conflicting policy requirements. We define and describe 14 features of journal research data policies and arrange these into a set of six standard policy types or tiers, which can be adopted by journals and publishers to promote data sharing in a way that encourages good practice and is appropriate for their audience’s perceived needs. Policy features include coverage of topics such as data citation, data repositories, data availability statements, data standards and formats, and peer review of research data. These policy features and types have been created by reviewing the policies of multiple scholarly publishers, which collectively publish more than 10,000 journals, and through discussions and consensus building with multiple stakeholders in research data policy via the Data Policy Standardisation and Implementation Interest Group of the Research Data Alliance. Implementation guidelines for the standard research data policies for journals and publishers are also provided, along with template policy texts which can be implemented by journals in their Information for Authors and publishing workflows. We conclude with a call for collaboration across the scholarly publishing and wider research community to drive further implementation and adoption of consistent research data policies. Publisher's Note: a correction article relating to this publication has been published and can be found at http://doi.org/10.5334/dsj-2020-017

Highlights

  • An increasing number of publishers and journals are implementing policies that require or recommend that published articles be accompanied by the underlying research data (Jones, Grant & Hrynaszkiewicz, 2019)

  • This paper provides a comprehensive journal research data policy framework that can be adopted by and aligns with the policy requirements of all scholarly journals and publishers

  • It is an output of the Data Policy Standardisation and Implementation Interest Group of the Research Data Alliance (RDA) and has been produced with open, research community and publishing industry consultation over a period of two years

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Summary

Introduction

An increasing number of publishers and journals are implementing policies that require or recommend that published articles be accompanied by the underlying research data (Jones, Grant & Hrynaszkiewicz, 2019). While uptake of journal data policies is on the rise, there is wide variation between policies on aspects such as their content, their discoverability, their ease of interpretation, infrastructure integration and support for compliance. This makes it challenging for journal editors to develop and support a data policy, difficult for researchers in understanding and complying with data policies, and complex for infrastructure providers and research support staff to assist with data policy compliance. There is clear benefit in a more standardised approach, as evidenced in the findings of the Jisc UK Journal Data Registry Project and the pioneering work of publishers, such as Springer Nature, to develop and support standard policy types for their journals (Naughton & Kernohan, 2016; Hrynaszkiewicz, Birukou, Astell, et al, 2017).

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