Introducing the FAIR Principles for research software

328Citations
Citations of this article
273Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Research 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.

Cite

CITATION STYLE

APA

Barker, M., Chue Hong, N. P., Katz, D. S., Lamprecht, A. L., Martinez-Ortiz, C., Psomopoulos, F., … Honeyman, T. (2022). Introducing the FAIR Principles for research software. Scientific Data, 9(1). https://doi.org/10.1038/s41597-022-01710-x

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free