Institutional data commons: a federated Data Use Certification-aware architecture for secure and scalable data use in biomedical data ecosystems

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ID: 328614
2026
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Ranked #54 of 77 articles by views in Journal of the American Medical Informatics Association : JAMIA

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Abstract
Abstract Background Modern biomedical data ecosystems increasingly rely on global cloud platforms to coordinate access to large-scale genomic and clinical datasets. However, operational governance remains largely investigator-centric, shifting the responsibility for complex security, compliance, and infrastructure management to individual laboratories. As data volumes and regulatory requirements expand, this approach fails to scale across the research enterprise. This disjointed approach creates a substantial governance burden and can slow down scientific progress. In centralized cloud environments, investigators face siloed identity management and high costs, leading to inefficient data use and increased risk when integrating local and global datasets. Materials and Methods We examine limitations in the current infrastructure and propose reframing institutional data commons as governance-aware intermediaries to ensure secure, efficient and sustainable use of controlled-access biomedical data. Results This federated architecture decouples storage from authorization, enabling dynamic access linked to active certifications, whether data are analyzed in situ on global platforms or in local governance-aware institutional access environments. Discussion Shifting governance from investigators to institutional infrastructure ensures that biomedical research remains both secure and economically sustainable.
Reference Key
openalex_W7213443128 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Saonli Basu
Journal Journal of the American Medical Informatics Association : JAMIA
Year 2026
DOI
10.1093/jamia/ocag147
URL
https://doi.org/10.1093/jamia/ocag147
Keywords Keywords not found

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