Tuesday, 14. January 2025
14:00 – 18:00 CET
https://us06web.zoom.us/j/3569153382?pwd=khs5zBY3Z1Zjovs4xmrZVaQ8xgH0Zc.1&omn=83878604970
Meeting ID: 356 915 3382
Passcode: 20271231
About the workshop
The workshop focuses on the FAIR principles —Findable, Accessible, Interoperable, and Reusable— aimed at enhancing research data management. It includes sessions on data curation, semantic documentation for FAIR compliance, harmonizing model characterization templates, and addressing challenges related to in vitro model complexity. Participants will engage in presentations and discussions to share insights and strategies for effectively implementing these principles in their research practices.
14:00 – 14:30
Greetings & Introduction on FAIR Principles and their current State
Session on Data
14:30 – 15:00
Data Curation & FAIRification for Knowledge Graph Development
15:00 – 15:30
15:30 – 16:00
Break
Session on Models
16:00 – 16:30
Harmonizing Model-Characterization Templates across different computational & experimental Fields
16:30 – 17:00
FAIRifying computational Models: Advancing Transparency & Reusability in the SSbD Framework
Open Session
17:00 – 18:00
In vitro Model Complexity: A Challenge for FAIRification?
18:00
End of Workshop – Wrap-Up & Next Steps