Digital evolution: Novo Nordisk’s shift to ontology-based data management
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...
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| Format: | Article |
| Language: | English |
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BMC
2025-03-01
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| Series: | Journal of Biomedical Semantics |
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| Online Access: | https://doi.org/10.1186/s13326-025-00327-4 |
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| author | Shawn Zheng Kai Tan Shounak Baksi Thomas Gade Bjerregaard Preethi Elangovan Thrishna Kuttikattu Gopalakrishnan Darko Hric Joffrey Joumaa Beidi Li Kashif Rabbani Santhosh Kannan Venkatesan Joshua Daniel Valdez Saritha Vettikunnel Kuriakose |
| author_facet | Shawn Zheng Kai Tan Shounak Baksi Thomas Gade Bjerregaard Preethi Elangovan Thrishna Kuttikattu Gopalakrishnan Darko Hric Joffrey Joumaa Beidi Li Kashif Rabbani Santhosh Kannan Venkatesan Joshua Daniel Valdez Saritha Vettikunnel Kuriakose |
| author_sort | Shawn Zheng Kai Tan |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-e8cfda7f064d4dd0ad5a19a5d90f7d35 |
| institution | DOAJ |
| issn | 2041-1480 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Biomedical Semantics |
| spelling | doaj-art-e8cfda7f064d4dd0ad5a19a5d90f7d352025-08-20T02:41:36ZengBMCJournal of Biomedical Semantics2041-14802025-03-0116111110.1186/s13326-025-00327-4Digital evolution: Novo Nordisk’s shift to ontology-based data managementShawn Zheng Kai Tan0Shounak Baksi1Thomas Gade Bjerregaard2Preethi Elangovan3Thrishna Kuttikattu Gopalakrishnan4Darko Hric5Joffrey Joumaa6Beidi Li7Kashif Rabbani8Santhosh Kannan Venkatesan9Joshua Daniel Valdez10Saritha Vettikunnel Kuriakose11Novo Nordisk A/SNovo Nordisk A/SNovo Nordisk A/SNovo Nordisk A/SNovo Nordisk A/SNovo Nordisk A/SNovo Nordisk A/SNovo Nordisk A/SNovo Nordisk A/SNovo Nordisk A/SNovo Nordisk A/SNovo Nordisk A/SAbstract 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.https://doi.org/10.1186/s13326-025-00327-4OntologyData managementData strategyFAIRPharmaceutical industry |
| spellingShingle | Shawn Zheng Kai Tan Shounak Baksi Thomas Gade Bjerregaard Preethi Elangovan Thrishna Kuttikattu Gopalakrishnan Darko Hric Joffrey Joumaa Beidi Li Kashif Rabbani Santhosh Kannan Venkatesan Joshua Daniel Valdez Saritha Vettikunnel Kuriakose Digital evolution: Novo Nordisk’s shift to ontology-based data management Journal of Biomedical Semantics Ontology Data management Data strategy FAIR Pharmaceutical industry |
| title | Digital evolution: Novo Nordisk’s shift to ontology-based data management |
| title_full | Digital evolution: Novo Nordisk’s shift to ontology-based data management |
| title_fullStr | Digital evolution: Novo Nordisk’s shift to ontology-based data management |
| title_full_unstemmed | Digital evolution: Novo Nordisk’s shift to ontology-based data management |
| title_short | Digital evolution: Novo Nordisk’s shift to ontology-based data management |
| title_sort | digital evolution novo nordisk s shift to ontology based data management |
| topic | Ontology Data management Data strategy FAIR Pharmaceutical industry |
| url | https://doi.org/10.1186/s13326-025-00327-4 |
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