Themes and objectives
- To position FAIR as a key enabler to automate and accelerate R&D process workflows
- FAIR Implementation within the context of a use case
- Grounded in precise outcomes (e.g. faster and bigger science / more reuse of data to enhance value / increased ability to share data for collaboration and partnership)
- To make data actionable through FAIR interoperability
Facilitator:
Ian Harrow, Project Manager, Pistoia Alliance
Speakers:
Mathew Woodwark, Head of Data Infrastructure and Tools, Data Science & AI, AstraZeneca
Erik Schultes, International Science Coordinator, GO-FAIR
Georges Heiter, Founder & CEO, Databiology