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

The amount of biomedical data is growing, and managing it is increasingly challenging. While Findable, Accessible, Interoperable and Reusable (FAIR) data principles provide guidance, their adoption has proven difficult, especially in larger enterprises like pharmaceutical companies. In this manuscript, we describe how we leverage an Ontology-Based Data Management (OBDM) strategy for digital transformation in Novo Nordisk Research & Early Development. Here, we include both our technical blueprint and our approach for organizational change management. We further discuss how such an OBDM ecosystem plays a pivotal role in the organization's digital aspirations for data federation and discovery fuelled by artificial intelligence. Our aim for this paper is to share the lessons learned in order to foster dialogue with parties navigating similar waters while collectively advancing the efforts in the fields of data management, semantics and data driven drug discovery.

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Publication Details

Journal
Journal of Biomedical Semantics
Published
2025-03-22
DOI
https://doi.org/10.1186/s13326-025-00327-4
Citations
6
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
4.84
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Digital evolution: Novo Nordisk’s shift to ontology-based data management

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

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article en
6 citations

Abstract

The amount of biomedical data is growing, and managing it is increasingly challenging. While Findable, Accessible, Interoperable and Reusable (FAIR) data principles provide guidance, their adoption has proven difficult, especially in larger enterprises like pharmaceutical companies. In this manuscript, we describe how we leverage an Ontology-Based Data Management (OBDM) strategy for digital transformation in Novo Nordisk Research & Early Development. Here, we include both our technical blueprint and our approach for organizational change management. We further discuss how such an OBDM ecosystem plays a pivotal role in the organization's digital aspirations for data federation and discovery fuelled by artificial intelligence. Our aim for this paper is to share the lessons learned in order to foster dialogue with parties navigating similar waters while collectively advancing the efforts in the fields of data management, semantics and data driven drug discovery.

Journal of Biomedical SemanticsVol. 16(1)
Novo Nordisk (Denmark) (DK)
Partnerships for the goals
Openalex Percentile: Top 5%
Biomedical Text Mining and Ontologies
4.84
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