FAIRsoft - A practical implementation of FAIR principles for research software
Eva Martín del PicoiD, Josep Lluis GelpíiD, Salvador Capella-GutiérreziD
Abstract
Software plays a crucial and growing role in research. Unfortunately, the computational component in Life Sciences research is challenging to reproduce and verify most of the time. It could be undocumented, opaque, may even contain unknown errors that affect the outcome, or be directly unavailable, and impossible to use by 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. Within the ELIXIR infrastructure, OpenEBench aims to be an open platform providing both support for scientific benchmarking and an active observatory of software quality for the universe of Life Sciences research software. We present our initial proposal to instantiate a FAIR-like framework for assessing software quality as the first step toward the implementation of such an observatory in OpenEBench. Supplementary Material: FAIRsoft - Supplementary materials FAIRsoft.SupplementaryTables FAIRsoft.SupplementaryTables-Landscape Other Figures: figures draft Repository: https://gitlab.bsc.es/inb/elixir/software-observatory/FAIRsoft_ETL
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 8
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Making Biomedical Research Software FAIR: Actionable Step-by-step Guidelines with a User-support Tool
B. Patel, S. Soundarajan, … Z. Hu·bioRxiv·Apr 18, 2022
- SoftWipe - a tool and benchmark to assess scientific software quality
Adrian Zapletal, Dimitri Höhler, … Alexandros Stamatakis·bioRxiv·Oct 7, 2020
- Evaluating FAIR-Compliance Through an Objective, Automated, Community-Governed Framework
Mark D Wilkinson, Michel Dumontier, … Erik Schultes·bioRxiv·Sep 25, 2018
- A design framework and exemplar metrics for FAIRness
M. D. Wilkinson, S.-A. Sansone, … M. Dumontier·bioRxiv·Dec 1, 2017
- Lessons Learned: Recommendations for Establishing Critical Periodic Scientific Benchmarking
Salvador Capella-Gutiérrez, Diana de la Iglesia, … Alfonso Valencia·bioRxiv·Aug 31, 2017
- From Abandoned Scripts to FAIR Community Pipelines: Rescuing Orphan Bioinformatics Workflows with nf-core - Lessons from Light-Sheet Fluorescence Microscopy
Carolin Schwitalla, Luis Kuhn Cuellar, … Sven Nahnsen·bioRxiv·Aug 11, 2026