In drug development, critical evidence is often spread across clinical systems, lab platforms, study reports, regulatory documents, and scientific literature. This blog explains how a data fabric in pharma creates a governed, metadata-driven layer across structured and unstructured sources, without unnecessary data movement.
You’ll learn how a clinical data fabric supports secure cross-study discovery, stronger governance, and better AI readiness across the development lifecycle. The article also shows where a data fabric in life sciences fits alongside federated computing and AI-driven scientific workflows.