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White Paper on implementing the FAIR principles for data in the Social, Behavioural, and Economic Sciences

Author

Listed:
  • Noemi Betancort Cabrera
  • Elke C. Bongartz
  • Nora Dörrenbächer
  • Jan Goebel
  • Harald Kaluza
  • Pascal Siegers

Abstract

The FAIR principles formulate guidelines for the sustainable reusability of research data. FAIR stands for Findability, Accessibility, Interoperability, and Reusability of data and metadata. While there is a growing body of general implementation guidelines, so far there is a lack of specific recommendations on how to apply the FAIR principles to the specific needs of social, behavioural and economic science data. These disciplines work with highly diverse data types that often contain confidential information on individuals, companies, or institutions. These features pose some challenges to the useful implementation of the FAIR principles – especially regarding the machine-actionability of data and metadata that is at the core of the FAIR principles. This White Paper defines the FAIR principles for the social, behavioural and economic sciences. For each of the 15 FAIR (sub)principles, the paper proposes minimum requirements and provides a vision for a full-implementation of the FAIR principles by repositories and data centres. The paper was authored by members of the Economic and Social Sciences goINg FAIR Implementation Network (EcoSoc-IN) and addresses research data centres and other stakeholders who strive for a FAIR research data infrastructure in the disciplines of KonsortSWD.

Suggested Citation

  • Noemi Betancort Cabrera & Elke C. Bongartz & Nora Dörrenbächer & Jan Goebel & Harald Kaluza & Pascal Siegers, 2020. "White Paper on implementing the FAIR principles for data in the Social, Behavioural, and Economic Sciences," RatSWD Working Papers 274, German Data Forum (RatSWD).
    • Handle: RePEc:rsw:rswwps:rswwps274
    DOI: https://doi.org/10.17620/02671.60
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    Cited by:

    1. Lüthen Holger & Schröder Carsten & Grabka Markus M. & Goebel Jan & Mika Tatjana & Brüggmann Daniel & Ellert Sebastian & Penz Hannah, 2022. "SOEP-RV: Linking German Socio-Economic Panel Data to Pension Records," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 242(2), pages 291-307, April.

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