Research datakeyboard_double_arrow_right Dataset 22 Feb 2021Publisher:ZenodoFunded by:UKRI | The Software Sustainabili..., EC | FAIRplus, UKRI | The UK Software Sustainab... +1 projects

Authors: WG, FAIR4RS;

doi: 10.5281/zenodo.4555864 , 10.5281/zenodo.4555865

FAIR4RS Subgroup 4 - reading list of new research

- Summary
- Related research
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Abstract

This is a list of twenty-five suggestions of research relevant to understanding how to apply the FAIR principles for software. These should be read in conjunction with the list of references presented in the paper Towards FAIR Principles for Research Software. This list includes research published after Towards FAIR Principles for Research Software, or address gaps from disciplines missed in the paper. The suggestions were collected as part of a survey to understand what makes software FAIR / un-FAIR, as well as understanding how the FAIR principles for software should be defined. This work is part of Subroup 4 of the RDA/ReSA/FORCE11 FAIR for Research Software (FAIR4RS) Working Group. Thanks go to everyone who contributed suggestions.

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Towards FAIR principles for research software
2019IsSupplementTo

Impact byBIP!

	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).	2
	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.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average