FAIR Software as a Service: Combining tools to implement FAIR for clinical data platforms

Publication date

2025-01-03

Authors

Overkleeft, Rick
van Boom, Sander
Prud’Hommeaux, Eric
Burger, Kees
Fransen, Jip
Kappen, Teus H.ORCID 0000-0003-1895-0998ISNI 0000000394235275
Bonino da Silva Santos, Luiz
Kaliyaperumal, Rajaram
Roos, Marco

Editors

Advisors

Supervisors

DOI

Document Type

Article

Collections

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License

cc_by

Abstract

Many DCCs have operational expertise in deploying software services, but lack expertise in deploying and exploiting FAIR services that use Semantic Web technology for machine actionability. Although local deployment is lightweight and non-invasive for institutional infrastructure, engineers are not yet familiar with the underlying web technologies of FAIR services. This poses a risk for delivering the FAIR foundation of a federated health data infrastructure that is ready for federated analytics, AI, and machine learning. This project is making deployment by institutional DCCs of FAIR services cost-effective, scalable, and sustainable by delivering ‘FAIR Software as a Service’ (FAIR-SaaS).

Keywords

architecture, FAIR, FAIR Data Point, implementation, SaaS, General Computer Science

Citation

Overkleeft, R, van Boom, S, Prud’Hommeaux, E, Burger, K, Fransen, J, Kappen, T, Bonino da Silva Santos, L, Kaliyaperumal, R & Roos, M 2025, 'FAIR Software as a Service : Combining tools to implement FAIR for clinical data platforms', CEUR Workshop Proceedings, vol. 3890, pp. 208-209. < https://ceur-ws.org/Vol-3890/ >