Helping the consumers and producers of standards, repositories and policies to enable fair data

Peter McQuilton*, Dominique Batista, Oya Beyan, Ramon Granell, Simon Coles, Massimiliano Izzo, Allyson L. Lister, Robert Pergl, Philippe Rocca-Serra, Ben Schaap, Hugh Shanahan, Milo Thurston, Susanna Assunta Sansone

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

7 Citations (Scopus)

Abstract

Thousands of community-developed (meta)data guidelines, models, ontologies, schemas and formats have been created and implemented by several thousand data repositories and knowledge-bases, across all disciplines. These resources are necessary to meet government, funder and publisher expectations of greater transparency and access to and preservation of data related to research publications. This obligates researchers to ensure their data is FAIR, share their data using the appropriate standards, store their data in sustainable and community-adopted repositories, and to conform to funder and publisher data policies. FAIR data sharing also plays a key role in enabling researchers to evaluate, re-analyse and reproduce each other’s work. We can map the landscape of relationships between community-adopted standards and repositories, and the journal publisher and funder data policies that recommend their use. In this paper, we show how the work of the GO-FAIR FAIR Standards, Repositories and Policies (StRePo) Implementation Network serves as a central integration and cross-fertilisation point for the reuse of FAIR standards, repositories and data policies in general. Pivotal to this effort, the FAIRsharing, an endorsed flagship resource of the Research Data Alliance that maps the landscape of relationships between community-adopted standards and repositories, and the journal publisher and funder data policies that recommend their use. Lastly, we highlight a number of activities around FAIR tools, services and educational efforts to raise awareness and encourage participation.

Original languageEnglish
Pages (from-to)151-157
Number of pages7
JournalData Intelligence
Volume2
Issue number1-2
DOIs
Publication statusPublished - 1 Jan 2020

Keywords

  • Convergence
  • Data policies
  • Data repositories
  • Data standards
  • FAIR data
  • FAIR enabling community

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