Published in Upstream
Author Daniel S. Katz
Do you think the FAIR principles for Research Software are working? The FAIR Principles for Research Software were published in March 2022 and described in a paper in October 2022.
References
Introducing the FAIR Principles for research software
Published in Scientific Data
Authors Michelle Barker, Neil P. Chue Hong, Daniel S. Katz, Anna-Lena Lamprecht, Carlos Martinez-Ortiz, Fotis Psomopoulos, Jennifer Harrow, Leyla Jael Castro, Morane Gruenpeter, Paula Andrea Martinez, Tom Honeyman
AbstractResearch software is a fundamental and vital part of research, yet significant challenges to discoverability, productivity, quality, reproducibility, and sustainability exist. Improving the practice of scholarship is a common goal of the open science, open source, and FAIR (Findable, Accessible, Interoperable and Reusable) communities and research software is now being understood as a type of digital object to which FAIR should be applied. This emergence reflects a maturation of the research community to better understand the crucial role of FAIR research software in maximising research value. The FAIR for Research Software (FAIR4RS) Working Group has adapted the FAIR Guiding Principles to create the FAIR Principles for Research Software (FAIR4RS Principles). The contents and context of the FAIR4RS Principles are summarised here to provide the basis for discussion of their adoption. Examples of implementation by organisations are provided to share information on how to maximise the value of research outputs, and to encourage others to amplify the importance and impact of this work.
FAIR Principles for Research Software (FAIR4RS Principles)
Published
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 Hellstrm, 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 Nihues, 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, Research Data Alliance FAIR For Research Software (FAIR4RS) WG
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.