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

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).