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Implementing FAIR data principles is a strategic imperative for healthcare and life science organizations as those organizations seek to drive better outcomes for patients. However, real-world adoption often faces significant hurdles. This session cuts through the theoretical to reveal what successful FAIR transformation looks like on the ground, given our experiences at multiple organizations.

We explore critical nuances of managing risk, demonstrating ROI, and navigating organizational change. We distinguish between the data consumer’s journey (F → A → I → R) and the data transformation journey (I → R → A → F). The latter offers an iterative, value-first approach, built collaboratively with data product consumers and producers, with higher likelihood to overcome resistance and accelerate buy-in.

Join us to learn about our experiences in executing data strategies that are contextualized, collaborative, and designed for genuine impact, ensuring your FAIR initiatives move from aspiration to ingrained practice.

Speakers

JOHN SPENS

VP of Data Modernization, Thoughtworks

NIMISHA ASTHAGIRI

Global Director of Data and AI, Thoughtworks