Data Management
Transform Data into Strategic Assets for Discovery, Collaboration, and AI
5/20/2026 - May 21, 2026
The Data Management track showcases how life-science organizations are modernizing their research data foundations to support FAIR principles, AI readiness, and enterprise-scale scientific operations. The 2026 program emphasizes practical, production-level strategies—spanning metadata automation, cloud-native data platforms, data product architectures, knowledge-graph–enabled enrichment, and governance models that ensure trust, compliance, and interoperability. Speakers will share real-world transformations across R&D, translational science, and clinical research, highlighting how robust data infrastructure accelerates discovery, improves decision-making, and reduces operational burden. Designed for leaders in data strategy, research informatics, R&D IT, compliance, and digital transformation, this track delivers the frameworks and tools needed to turn fragmented data into reusable, AI-ready assets and scalable enterprise knowledge.