A Pharmaceutical Data Mesh That Preserves Ownership while Enabling Semantic Interoperability, Model Development, and Evidence Reuse

Pharmaceutical research increasingly depends on the combined interpretation of chemical, biological, preclinical, clinical, safety, manufacturing, and real-world evidence. These data are commonly distributed across scientific functions, technology platforms, legal jurisdictions, and stages of the product lifecycle. Centralized architectures attempt to overcome this fragmentation by consolidating data into shared repositories, but consolidation alone does not preserve scientific context, resolve