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.
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