FAIR enabling resources for metadata creation and management

11 FEB 2025

MEETING SUMMARY

Barend Mons – Simplifying FAIR Data Adoption

The session addressed challenges in making data FAIR, emphasizing the need for intuitive tools, AI-driven automation, and FAIR data portals. It highlighted FAIR Implementation Profiles (FIPs) as a solution and stressed the importance of cross-sector collaboration.

Barbara Magagna – The FAIR Implementation Profile (FIP) Approach

FIPs provide a structured, questionnaire-based method for implementing FAIR principles, ensuring standardization and machine-actionability. The system integrates with the Data Stewardship Wizard and FAIRsharing, enabling automated metadata extraction and seamless FAIR adoption.

Erik Schultes – Driving FAIR Convergence with FIPs and FAIR Connect

FIPs have enhanced interoperability across research communities, creating a data science playground for analyzing global FAIR adoption. FAIR Connect serves as a user-friendly interface for exploring FIPs and enabling AI-driven FAIR compliance assessments.

Jakub Jirka – Scaling FAIR Adoption with FairWizard

FairWizard, built on the Data Stewardship Wizard (DSW), offers structured, automated data management planning at scale. It provides enterprise-level automation, metadata integration, and governance insights, streamlining institutional FAIR adoption.

LIFES members: click here for the meeting report, recordings and presentations