The Prerequisites Nobody Tells You about—Making R&D Data Actually Reusable
Biopharma Data Management Stage
Day 1
Information
- Why many ELN and R&D data infrastructure implementations fail to produce truly reusable scientific data
- Lessons learned from implementing production ELN systems and CRO data ingestion frameworks in large pharma
- The importance of repeatable scientific workflows for enabling scalable and systematised data capture
- Challenges in transforming scientific data into analytically usable and interoperable datasets
- A practical framework for assessing scientific workflow maturity, downstream utility, and data reusability before implementation investment