As the Life Science industry becomes increasingly aware of the importance of taking a data-centric approach to asset management and how the FAIR principles can support this, the necessity to have accurate and representative ontologies is obvious.
Many aspects need to be considered when managing and provisioning these ontologies, including version control and change management, capturing mappings between ontologies covering similar domains, dealing with multiple representations of ontologies, and governance, to name a few. It is these points that will be covered in the webinar
Zahid Tharia, Consultant, Pistoia Alliance
Joe Mullen PhD, Director of Technical Consultants, SciBite
Gabrielle Whittick, SEED Project Manager, Pistoia Alliance
In the first of this two-part blog, I describe what ontologies are and how you can use them to make the best use of scientific data within your organisation.Read
In our previous blog, we explained why FAIR data is important not only for biotech and pharmaceutical companies but also for their partners. Here we describe how ontologies are the key to having the richly described metadata that is at the heart of making data FAIR. Let’s explore how ontologies help with each aspect of the FAIR data principles…Read
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