Digital Evolution: Novo Nordisk's Shift to Ontology-Based Data Management
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arXiv
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| Autores principales: | , , , , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866910441552216064 |
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| author | Tan, Shawn Zheng Kai Baksi, Shounak Bjerregaard, Thomas Gade Elangovan, Preethi Gopalakrishnan, Thrishna Kuttikattu Hric, Darko Joumaa, Joffrey Li, Beidi Rabbani, Kashif Venkatesan, Santhosh Kannan Valdez, Joshua Daniel Kuriakose, Saritha Vettikunnel |
| author_facet | Tan, Shawn Zheng Kai Baksi, Shounak Bjerregaard, Thomas Gade Elangovan, Preethi Gopalakrishnan, Thrishna Kuttikattu Hric, Darko Joumaa, Joffrey Li, Beidi Rabbani, Kashif Venkatesan, Santhosh Kannan Valdez, Joshua Daniel Kuriakose, Saritha Vettikunnel |
| contents | Biomedical data is growing exponentially, 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 organizations 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 | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_05413 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Digital Evolution: Novo Nordisk's Shift to Ontology-Based Data Management Tan, Shawn Zheng Kai Baksi, Shounak Bjerregaard, Thomas Gade Elangovan, Preethi Gopalakrishnan, Thrishna Kuttikattu Hric, Darko Joumaa, Joffrey Li, Beidi Rabbani, Kashif Venkatesan, Santhosh Kannan Valdez, Joshua Daniel Kuriakose, Saritha Vettikunnel Databases Biomedical data is growing exponentially, 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 organizations 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. |
| title | Digital Evolution: Novo Nordisk's Shift to Ontology-Based Data Management |
| topic | Databases |
| url | https://arxiv.org/abs/2405.05413 |