Description
Chairs: Erik Schultes, GO FAIR Foundation; Giorgio Rossi, Università degli Studi di Milano and EOSC Steering Board
Objectives: Provide an overview of the state of the art in the production of FAIR datasets (e.g. by research infrastructures) by either FAIR-by-design technologies or by ex-post FAIRification by algorithms and compute. Provide the outlook on how the necessary level of productivity (in the limit of all new data 100% FAIR) can be reached by the two methods, and/or their combination, from the perspectives of technology, economy, transferability of solutions.
Agenda:
Agenda:
5' Introduction
30' Presentations
- FAIR-by-design approach, technology and production. Implications in laboratory setup upgrades.
- FAIRification ex-post acquisition, reliable algorithms and curation. Implications in HPC needs
15' Three use cases
20' Panel discussion
5' Wrap-up and final remarks