Implementation and FAIR Evaluation of Clinical Data Provision Framework

The secondary use of clinical data from hospitals is increasingly demanded by both industry and academia. To balance analytical utility with patient privacy, we developed and implemented a lightweight, hospital-based data-provision framework within the Osaka University Life Design Innovation initiative. For consented participants, anonymized research IDs and hash-based data indices were created, enabling temporal reconstruction through relative days without retaining actual dates. The internally managed data catalog, composed only of research IDs, observation indices, and hash-based data indices, was separated from the dataset, which remained securely stored on hospital servers, while overall coordination and access governance were provided through the PLR platform. The framework operates through three layers-hospital, PLR platform, and secondary users-ensuring clear data governance and operational scalability. It was applied to a perinatal cohort of 22 participants, generating four data categories from the hospital data warehouse. FAIR evaluation demonstrated high maturity in Findability, Accessibility, and Reusability, while Interoperability remained limited due to non-standardized, non-machine-readable formats. This framework provides a practical and scalable model for FAIR-oriented secondary data use, supporting secure and efficient data sharing in medical institutions.