=Paper=
{{Paper
|id=Vol-3939/abstract2
|storemode=property
|title=Bridging the Gap: Integrating Public Bio-Ontologies into Enterprise Data
						Management Strategies
|pdfUrl=https://ceur-ws.org/Vol-3939/abstract2.pdf
|volume=Vol-3939
|authors=Shawn Zheng Kai Tan,Joshua Daniel Valdez,Saritha Vettikunnel Kuriakose
|dblpUrl=https://dblp.org/rec/conf/icbo/TanVK24
}}
==Bridging the Gap: Integrating Public Bio-Ontologies into Enterprise Data
						Management Strategies==
<pdf width="1500px">https://ceur-ws.org/Vol-3939/abstract2.pdf</pdf>
<pre>
                         Bridging the Gap: Integrating Public Bio-Ontologies into
                         Enterprise Data Management Strategies - Abstract
                         Shawn Zheng Kai Tan, Joshua Daniel Valdez and Saritha Vettikunnel Kuriakose∗
                         Novo Nordisk A/S, Novo Nordisk Park 1, 2760 Måløv, Denmark


                                      Abstract
                                      Publicly available bio-ontologies are utilised by many companies in the biomedical and biotech industries, not just
                                      for the application of Findable, Accessible, Interoperable and Reusable (FAIR), but also as a way to leverage the
                                      collective knowledge of the community. Yet, most public bio-ontologies are not fully fit for purpose due to specific
                                      organisational requirements. At Novo Nordisk Research & Early Development, we are digitally transforming our
                                      data management landscape with an Ontology-Based Data Management (OBDM) strategy. Here we describe
                                      how we incorporate public bio-ontologies into our OBDM system, addressing both our technical blueprint and
                                      our change management approach. We will also explore how the OBDM system plays a crucial role in our
                                      organization’s digital aspirations in discovery fuelled by artificial intelligence, and data federation. Our goal is to
                                      offer insights for FAIR practitioners and developers regarding the challenges faced by large-scale pharmaceutical
                                      companies, share the lessons we have learned, and to foster dialogue with the wider bio-ontology community.

                                      Keywords
                                      ontology, industry, FAIR, data management




                          15th International Conference on Biomedical Ontologies 2024, July 17-19, 2024, Enschede, The Netherlands
                         ∗
                              Corresponding author.
                          Envelope-Open tzks@novonordisk.com (S. Z. K. Tan); jdnv@novonordisk.com (J. D. Valdez); szvk@novonordisk.com (S. V. Kuriakose)
                          Orcid 0000-0001-7258-9596 (S. Z. K. Tan)
                                      © 2024 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).


CEUR
                  ceur-ws.org
Workshop      ISSN 1613-0073
Proceedings

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