Digital evolution: Novo Nordisk's shift to ontology-based data management.

Area of Science:

• Biomedical Data Management
• Pharmaceutical Research
• Digital Transformation

Background:

• The exponential growth of biomedical data presents significant management challenges.
• Findable, Accessible, Interoperable, and Reusable (FAIR) data principles are difficult to implement in large enterprises.
• Pharmaceutical companies face hurdles in adopting effective data management strategies.

Purpose of the Study:

• To describe the implementation of an Ontology-Based Data Management (OBDM) strategy for digital transformation.
• To share technical blueprints and organizational change management approaches for OBDM.
• To discuss the role of OBDM in enabling data federation and AI-driven discovery.

Main Methods:

• Leveraging an Ontology-Based Data Management (OBDM) strategy.
• Developing a technical blueprint for OBDM implementation.
• Implementing organizational change management for data strategy adoption.

Main Results:

• Successful application of OBDM for digital transformation in pharmaceutical research and early development.
• Establishment of an OBDM ecosystem supporting data federation and AI-driven discovery.
• Gained insights into overcoming challenges in large-scale data management.

Conclusions:

• OBDM is a pivotal strategy for digital transformation in pharmaceutical R&D.
• Sharing lessons learned can foster dialogue and advance data management and semantics.
• OBDM facilitates data-driven drug discovery through enhanced data federation and AI capabilities.