For decades, the standard response to a research bottleneck has been simple: “We need more data.” But in today’s landscape, the limiting factor is rarely a lack of information—it is the fragmentation of the data we already own.
Join info pro Mary Ellen Bates and Mark Hahnel (Digital Science) for a discussion on “The Data Integration Challenge.” In this session, we will move past the hype of AI-first solutions to explore the architectural shifts necessary to truly unlock scientific productivity. Drawing on insights from recent industry interviews, we will explore why the path to faster, more defensible decision-making lies in knowledge graphs that link biological entities, clinical records, and literature across siloed systems.
We will discuss how organizations can shift their strategy from mere collection to meaningful connection, ensuring that data is not just findable, but ready for the complex cross-disciplinary reasoning that drives drug discovery.
Key Takeaways
- The Invisible Tax: Understanding why data preparation consumes the majority of research time and how to reclaim it.
- The Architecture of Trust: How connected data and provenance chains allow teams to defend AI-derived insights to regulators and stakeholders.
- Connecting Domains: Practical approaches to bridging the gap between clinical, chemical, and biological datasets using knowledge graphs.
Speakers
- Mary Ellen Bates: Founder and Principal at Bates Information Services Inc.
- Mark Hahnel: VP of Open Research at Digital Science
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