Research Data Scientists Can Find and Trust
Research moves only as fast as the data scientists can find and trust. Novo Nordisk unified metadata and vocabularies across its data landscape, speeding R&D and making regulatory reporting far less painful.
Challenge
Research data was spread across a growing patchwork of domains, each describing it differently. Scientists struggled to find and reuse data they could trust, slowing discovery, and every regulatory report meant chasing and reconciling sources.
Solution
Novo Nordisk built a governed context layer that harmonizes metadata and vocabularies across domains, making data findable and reusable. Scientists reuse trusted data, and reporting draws on one reliable foundation.
Technical approach
- One connected model of research metadata and vocabularies, findable and reusable across domains
- AI-drafted, expert-approved, and kept governed and current
Results
- R&D 20-40% faster, as scientists find and reuse trusted data
- Regulatory reporting hours cut, from harmonized and traceable data
- More value from every dataset, because domains share common meaning