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Guidelines for journals that wish to establish a data policy related to their publications.

The document is designed for editorial boards that wish to establish a data policy for their journals. The policy defines what the journal expects from its authors in terms of managing and sharing the data associated with its publications. The recommendations cover seven sections to be considered in the policy.

  July 08, 2021

Guidelines for journals that wish to establish a “data policy” related to their publications

French Committee for Open Science (COSO) — Research Data College

March 2021 (French original version), June 2021 (English version)

 

This document is designed for journals and editorial boards that wish to establish a data policy. A data policy defines what the journal expects from its authors in terms of managing and sharing the data related to its publications.

This document is intended in particular for editors of journals in the humanities and social sciences, as they have been relatively less active in this area than their counterparts in science, technology and medicine. However, it can be useful to all editors, regardless of the disciplinary scope of their journal.

Data policies differ depending on the nature of the incentives and requirements they provide, in particular:

  • Do they encourage or require that all or part of the data underlying the publications be made available?
  • Are there specific conditions concerning the availability of the data: deadline, format, licenses…?
  • Are the data submitted to a peer review process as are the publications?

In order to progressively set up their data policy, journals can refer to existing typologies (e.g. RDA offers 6 types of data policies, Springer defines 4).

Research data include all “documents in a digital form, other than scientific publications, which are collected or produced in the course of scientific research activities and are used as evidence in the research process, or are commonly accepted in the research community as necessary to validate research findings and results” [1].

This document is organised into 7 sections and 4 columns:

  • The 1st column contains the name of the section.
  • The 2nd column describes the section being presented.
  • The 3rd column specifies the issues of the section and what questions the journals should address.
  • The 4th column provides examples of wordings that are given as guidance.

This document was produced by the Research Data College of the French Committee for Open Science. It is distributed under a Creative Commons CC-BY license. It is based on the following references (amongst others):

  • Iain Hrynaszkiewicz, Natasha Simons, Azhar Hussain, Rebecca Grant, Simon Goudie. “Developing a Research Data Policy Framework for All Journals and Publishers.” Data Science Journal, 19 (1). 2020. DOI: https://doi.org/10.5334/dsj-2020-005;
  • and its French adaptation by the University of Toulouse-Jean Jaurès:
    Chloée Fabre, Françoise Gouzi. Proposition de modèle de politique pour les revues et éditeurs quant aux données de la recherche. 2020. ⟨hal-03026731⟩.

To cite this document: Romain Féret [2], Françoise Gouzi [3], Sandra Guigonis [4], Hélène Jouguet [5], Nicolas Larrousse [6], Armelle Thomas [7]). Guidelines for journals that wish to establish a “data policy” related to their publications. Research Data College of the French Committee for Open Science. 2021

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