D5.2 - Metrics for automated FAIR software assessment in a disciplinary context

Neil Chue Hong; Elena Breitmoser; Mario Antonioletti; Joy  Davidson; Daniel Garijo; Alejandra Gonzalez-Beltran; Morane Gruenpeter; Robert  Huber; Clement Jonquet; Mike Priddy; John Shepherdson; M. L Verburg (Maaike); Chris Wood

doi:10.5281/zenodo.10047400

D5.2 - Metrics for automated FAIR software assessment in a disciplinary context

Neil Chue Hong, Elena Breitmoser, Mario Antonioletti, Joy Davidson , Daniel Garijo, Alejandra Gonzalez-Beltran, Morane Gruenpeter, Robert Huber , Clement Jonquet, Mike Priddy, John Shepherdson, M. L Verburg (Maaike), Chris Wood

DANS-KNAW

Research output: Book/Report › Report › Scientific

Abstract

The deliverable defines 17 metrics that can be used to automate the assessment of research software against the FAIR4RS Principles, and provides examples of how these might be implemented in one exemplar disciplinary context of the social sciences. The FAIR-IMPACT project will then work to implement the metrics as practical tests by extending existing assessment tools such as F-UJI; this work will be reported in Q2 2024. Feedback will be sought from the community, through webinars and an open request for comments. The information from all these sources will be used to publish a revised version of the metrics.

Original language	English
Publisher	Zenodo
Number of pages	40
DOIs	https://doi.org/10.5281/zenodo.10047400
Publication status	Published - 31 Oct 2023

Keywords

FAIR
Research Software
FAIR Assessment
Metrics
Disciplinary-specific
social sciences

Access to Document

10.5281/zenodo.10047400Licence: CC BY

FAIR-IMPACT
Kalaitzi, V., Dillo, I., Turner, D., Ganesh, G., De Leeuw, L., Priddy, M., Grootveld, M. J., Brinkman, L., Korver, I., Verburg, M., Indarto, E., Scharnhorst, A., Kraaikamp, E., van Horik, R., Hugo, W., Saldner, S. & Flohr, P.
01/06/2022 → 31/05/2025
Project: Research

Cite this

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abstract = "The deliverable defines 17 metrics that can be used to automate the assessment of research software against the FAIR4RS Principles, and provides examples of how these might be implemented in one exemplar disciplinary context of the social sciences. The FAIR-IMPACT project will then work to implement the metrics as practical tests by extending existing assessment tools such as F-UJI; this work will be reported in Q2 2024. Feedback will be sought from the community, through webinars and an open request for comments. The information from all these sources will be used to publish a revised version of the metrics.",

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AU - Hong, Neil Chue

AU - Breitmoser, Elena

AU - Antonioletti, Mario

AU - Davidson , Joy

AU - Garijo, Daniel

AU - Gonzalez-Beltran, Alejandra

AU - Gruenpeter, Morane

AU - Huber , Robert

AU - Jonquet, Clement

AU - Priddy, Mike

AU - Shepherdson, John

AU - Verburg (Maaike), M. L

AU - Wood, Chris

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KW - FAIR

KW - Research Software

KW - FAIR Assessment

KW - Metrics

KW - Disciplinary-specific

KW - social sciences

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DO - 10.5281/zenodo.10047400

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BT - D5.2 - Metrics for automated FAIR software assessment in a disciplinary context

PB - Zenodo

ER -

D5.2 - Metrics for automated FAIR software assessment in a disciplinary context

Abstract

Keywords

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Projects

FAIR-IMPACT

Cite this