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License: CC BY
Data sources: Datacite
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Conference object . 2025
License: CC BY
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Presenting the Actionable Guidelines for FAIR Research Software Task Force (Poster)

Authors: Patel, Bhavesh; Garijo, Daniel; Actionable FAIR4RS Task Force;

Presenting the Actionable Guidelines for FAIR Research Software Task Force (Poster)

Abstract

Abstract: The Research Software Alliance (ReSA) has established a Task Force dedicated to translating the FAIR Principles for Research Software (FAIR4RS Principles) into practical, actionable guidelines. Existing field-specific actionable guidelines, such as the FAIR Biomedical Research Software (FAIR-BioRS) guidelines, lack cross-discipline community input. The Actionable Guidelines for FAIR Research Software Task Force, formed in December 2024, brings together a diverse team of researchers and research software developers to address this gap. The Task Force began by analyzing the FAIR4RS Principles, where it identified six key requirement categories: Identifiers, Metadata for software publication and discovery, Standards for inputs/outputs, Qualified references, Metadata for software reuse, and License. To address these requirements, six sub-groups are conducting literature reviews and community outreach to define actionable practices for each category. Some of the challenges include identifying suitable identifiers, archival repositories, metadata standards, and best practices across research domains. This poster provides an overview of the Task Force, presents its current progress, and outlines opportunities for community involvement. Given the progressive adoption of the FAIR4RS Principles, including by funders, we expect this poster will provide attendees at USRSE’25 with an understanding of the FAIR4RS Principles and how they can make their software FAIR through actionable, easy-to-follow, and easy-to-implement guidelines being established by our Task Force.

Keywords

Metadata, Identifier, Software, FAIR

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average