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Introducing the FAIR Principles for research software

Computer Science

Introducing the FAIR Principles for research software

M. Barker, N. P. C. Hong, et al.

Discover how the FAIR4RS Working Group is transforming research software by implementing principles that enhance discoverability, productivity, and sustainability! This initiative led by authors including Michelle Barker and Neil P. Chue Hong aims to boost transparency and reproducibility in research practices.

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Playback language: English
Abstract
Research software is crucial to research, yet faces challenges in discoverability, productivity, quality, reproducibility, and sustainability. The FAIR for Research Software (FAIR4RS) Working Group adapted the FAIR Guiding Principles (Findable, Accessible, Interoperable, Reusable) for research software. This paper summarizes the FAIR4RS Principles, provides implementation examples, and discusses their importance and community adoption. The principles aim to increase transparency, reproducibility, and reusability of research software.
Publisher
Scientific Data
Published On
Oct 14, 2022
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
Tags
FAIR Principles
research software
reproducibility
transparency
sustainability
community adoption

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