Unlocking Semantics as a FAIR Implementation Profile.

Full title:
Unlocking Semantics as a FAIR Implementation Profile. Reflections and Lessons Learned Building User-centric Semantic Authoring Applications.

This paper presents insights gained utilizing semantic technologies as a FAIR implementation profile for clinical metadata standards at Roche Pharma Data Sciences. It highlights the journey undertaken to democratize FAIR data authoring and achieve higher-order FAIRification all while addressing the associated challenges. The paper includes a specific use case from the clinical data collection standards domain, illustrating the automation potential of semantic model-driven development for implementing FAIR user-centric applications. The authors aim to share valuable lessons learned and challenges faced, providing insights for organizations seeking to advance FAIR practices and transform their data landscapes in similar endeavors.