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FAIR by Design

Webinar Summary

 

  • 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

Webinar Program

 

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

 

  • Data and process priorities at a Corporate R&D level
  • FAIR data as a corporate asset by design
  • The challenges to overcome

 

FAIR digital objects for automating processes – Erik Schultes, International Science Coordinator, GO-FAIR

 

  • The role of FAIR digital objects for automating processes in a collaborative and federated world
  • The digital molecular structure and digital twins examples
  • Why convergence for FAIR data and services is important

 

FAIR automation workflows and applications – Georges Heiter, Founder & CEO, Databiology

 

  • Delivering FAIR automation workflows and applications to the Data Scientist in R&D
  • Why FAIR automation is important (smarter /faster science – reusability /provenance)
  • How a use case centric approach can gain traction

 

Hosted expert panel – All presenters

 

  • A few prepared questions
  • Questions from the audience

 

This on-demand webinar is part of the FAIR Webinar Series. For more information about the Pistoia Alliance’s FAIR Implementation project, please contact us.

Access the Recording

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Posted on May 14, 2020 by Catherine Maskell
Categories: FAIR Implementation, Pistoia Webinars

Tags: FAIR, Real World Data, webinar


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