Governance and Multi-Institutional Data Stewardship: Frameworks for Large-Scale Precision Research (Motivated by the All of Us Research Program on Nationally Integrated, Participant-Centered Data Infrastructure by Denny et al.)

This report examines governance and multi-institutional data stewardship frameworks for large-scale precision health research, motivated by the All of Us Research Program. As biomedical research increasingly relies on diverse, longitudinal, and sensitive data sources—such as electronic health records, biospecimens, and digital health data—traditional fragmented governance models have proven insufficient for ensuring scalability, reproducibility, and ethical compliance. The report highlights the need for centralized governance approaches that integrate standardized access controls, harmonized data models, and participant-centered oversight to enable secure and efficient data sharing across institutions.

Using the All of Us program as a case study, the report illustrates how governance mechanisms embedded directly within technical infrastructure—such as cloud-based environments, tiered access systems, and unified ethical oversight—can transform data governance from a barrier into an enabler of research. Key dataset characteristics, including interoperability, standardization, and support for fine-grained access control, are shown to be essential for effective stewardship. While centralized governance frameworks offer strengths in transparency, scalability, and consistency, they also present challenges related to rigidity and adaptability. The report concludes that future governance models must evolve toward dynamic, evidence-informed systems that balance innovation with privacy, trust, and ethical responsibility in multi-institutional research environments.