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FAIR by Design

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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

We will email you the recording.

Posted on May 14, 2020 by Yasheaka Oakley
Categories: Pistoia Webinars

Tags: FAIR, Real World Data, webinar


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