• Output Type:
  • Output Status:
  • Review Period End: 2021-07-11
  • DOI:
  • Group: FAIR for Research Software (FAIR4RS) WG
  • Standards:
  • Regions:
  • Language:

  • Non RDA Author(s)

  • Adopters

  • Abstract

    FAIR for Research Software (FAIR4RS) WG
    Group co-chairs: Michelle Barker, Paula Andrea Martinez, Leyla Garcia, Daniel S. Katz, Neil Chue Hong, Jennifer Harrow, Fotis Psomopoulos, Carlos Martinez-Ortiz, Morane Gruenpeter
    Recommendation Title: FAIR Principles for Research Software (FAIR4RS Principles)
    Authors: Neil P. Chue Hong*, Daniel S. Katz*, Michelle Barker*; Anna-Lena Lamprecht, Carlos Martinez, Fotis E. Psomopoulos, Jen Harrow, Leyla Jael Castro, Morane Gruenpeter, Paula Andrea Martinez, Tom Honeyman; Alexander Struck, Allen Lee, Axel Loewe, Ben van Werkhoven, Catherine Jones, Daniel Garijo, Esther Plomp, Francoise Genova, Hugh Shanahan, Joanna Leng, Maggie Hellström, Malin Sandström, Manodeep Sinha, Mateusz Kuzak, Patricia Herterich, Qian Zhang, Sharif Islam, Susanna-Assunta Sansone, Tom Pollard, Udayanto Dwi Atmojo; Alan Williams, Andreas Czerniak, Anna Niehues, Anne Claire Fouilloux, Bala Desinghu, Carole Goble, Céline Richard, Charles Gray, Chris Erdmann, Daniel Nüst, Daniele Tartarini, Elena Ranguelova, Hartwig Anzt, Ilian Todorov, James McNally, Javier Moldon, Jessica Burnett, Julián Garrido-Sánchez, Khalid Belhajjame, Laurents Sesink, Lorraine Hwang, Marcos Roberto Tovani-Palone, Mark D. Wilkinson, Mathieu Servillat, Matthias Liffers, Merc Fox, Nadica Miljković, Nick Lynch, Paula Martinez Lavanchy, Sandra Gesing, Sarah Stevens, Sergio Martinez Cuesta, Silvio Peroni, Stian Soiland-Reyes, Tom Bakker, Tovo Rabemanantsoa, Vanessa Sochat, Yo Yehudi

    (*) Lead authors with equal contributions
    Impact: Adoption and implementation of the FAIR for research software principles will create significant benefits for many stakeholders, including increased research reproducibility for research organisations, better practices and more software usage for its developers, clarity for funders around their own policies and requirements for software investments, and guidelines for publishers on sharing requirements.

    This work will be of value to software project owners, researchers, users of research data and software, the scientific community, research software engineers, software developers who publish their software, software catalogue maintainers, repository managers, software preservation and archival experts, policymakers who are responsible for defining digital policies, and organisations that create, modify, manage, share, protect, and preserve research software, funders of research, and others with an interest in the FAIR principles for research software.
    DOI: 10.15497/RDA00065
    Citation and download: Chue Hong, N. P., Katz, D. S., Barker, M., Lamprecht, A.-L., Martinez, C., Psomopoulos, F. E., Harrow, J., Castro, L. J., Gruenpeter, M., Martinez, P. A., Honeyman, T., et al. (2021). FAIR Principles for Research Software (FAIR4RS Principles). Research Data Alliance. DOI: 10.15497/RDA00065

    This output has been superseded by the FAIR Principles for Research Software (FAIR4RS Principles) DOI: 10.15497/RDA00068

    Abstract:

    Research software is a fundamental and vital part of research worldwide, yet there remain significant challenges to software productivity, quality, reproducibility, and sustainability. Improving the practice of scholarship is a common goal of the open science, open source software and FAIR (Findable, Accessible, Interoperable and Reusable) communities, but improving the sharing of research software has not yet been a strong focus of the latter.

    To improve the FAIRness of research software, the FAIR for Research Software (FAIR4RS) Working Group has sought to understand how to apply the FAIR Guiding Principles for scientific data management and stewardship to research software, bringing together existing and new community efforts. Many of the FAIR Guiding Principles can be directly applied to research software by treating software and data as similar digital research objects. However, specific characteristics of software — such as its executability, composite nature, and continuous evolution and versioning — make it necessary to revise and extend the principles.

    This document presents the first version of the FAIR Principles for Research Software (FAIR4RS Principles). It is an outcome of the FAIR for Research Software Working Group (FAIR4RS WG).

    The FAIR for Research Software Working Group is jointly convened as an RDA Working Group, FORCE11 Working Group, and Research Software Alliance (ReSA) Task Force.

  • Impact Statement

  • Primary Field or Expertise

    Mathematics

  • Explanation of Sustainable Development Goals

  • Citations

  • Output

    FAIR4RS_Principles_v0.3_RDA-RFC.pdf

    Download
  • Primary Domain: Natural Sciences
  • RDA Pathways:
  • Group Technology focus: Dissemination
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