Key Challenges in Developing a Data Governance Framework

Data is the key asset in biopharmaceutical research; it is highly valued, but how well is it managed?

Developing a rigorous and robust data governance strategy is the foundation for driving innovation and improving the efficiency and effectiveness of R&D. New technologies, such as AI/ML, currently being utilised in modern R&D including its laboratories are dependent on the machine-ready availability (FAIR) of well-categorised data. Furthermore, security and data integrity is crucial for ensuring regulatory compliance.

The first session in the Pistoia Alliance Data Governance Webinar Series will address some of the key challenges in developing a data governance framework.

Featured Topics:

• Data governance fundamentals
• From “buy-in” to “roll out”: perspectives from large, complex organisations to SMEs
• Change management
• Legacy systems, Investment and RoI
• Regulation

Agenda

Data Governance: Why, What, How?

Heiner Oberkampf, Head of Data Governance, OSTHUS

Large Organization’s Perspective

Stefan Fischer Rivera, Chief Master Data Coordinator, Bayer

Regulatory perspective

Larry Callahan, Lead Scientist – Substance Registration System, FDA

Panel Discussion

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