FAIRsoft-a practical implementation of FAIR principles for research software.

ABSTRACT:

Motivation

Software plays a crucial and growing role in research. Unfortunately, the computational component in Life Sciences research is often challenging to reproduce and verify. It could be undocumented, opaque, contain unknown errors that affect the outcome, or be directly unavailable and impossible to use for others. These issues are detrimental to the overall quality of scientific research. One step to address this problem is the formulation of principles that research software in the domain should meet to ensure its quality and sustainability, resembling the FAIR (findable, accessible, interoperable, and reusable) data principles.

Results

We present here a comprehensive series of quantitative indicators based on a pragmatic interpretation of the FAIR Principles and th

SUBMITTER: Martin Del Pico E 

PROVIDER: S-EPMC11330317 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature