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Date(s) - 14 May 2020
3:00 pm - 4:30 pm


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



Ian Harrow, Project Manager, Pistoia Alliance



Mathew Woodwark, Head of Data Infrastructure and Tools, Data Science & AI, AstraZeneca

Erik Schultes, International Science Coordinator, GO-FAIR

Georges Heiter, Founder & CEO, Databiology


Register now