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Advancing data interoperability: Exploring ontology mapping for FAIR data initiatives [Pistoia Alliance Webinar]

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Achieving data interoperability is fundamental for successful FAIR (Findable, Accessible, Interoperable, and Reusable) data initiatives, and the utilization of ontology and terminology standards plays a crucial role in this endeavor. Nevertheless, challenges arise when organizations adopt competing or overlapping standards, necessitating access to mapping solutions to align datasets effectively. This issue is especially prevalent in industries, where internal and private terminology codes must be mapped to public ontology identifiers for integrating public datasets seamlessly.

Discover the power of data interoperability and ontology mapping in the Pistoia Alliance webinar – take a peek at the full webinar with this brief overview!

High-quality mapping between public ontologies exists, and standards have emerged that facilitate the publication and sharing of these mappings. Numerous tools and best practices are also available to generate novel ontology
mappings. Despite such progress, industries continue to invest significant resources into generating and curating mappings. Consequently, services are in demand to ensure mappings remain updated and accurate as data and
ontologies grow and evolve.


  • Jane Lomax, Head of Ontologies at SciBite
  • Simon Jupp, Head of Semantic Technology at SciBite

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