PIDapalooza 2021

In the wake of the pandemic crisis, findable, accessible, interoperable and reusable (FAIR) data has become crucial in order to develop next generation medicines that will change the life of patients. At Novo Nordisk, the use of ontologies and persistent identifiers to uniquely identify datasets and complex scientific vocabularies is a key factor in the development of machine learning-driven analytics.  Developing ontologies from scratch is not necessary, instead, existing ontologies can be enriched with domain specific knowledge. FAIR assessment are a useful tool to plan strategies for improving reuse of data by R&D users. Curathons can be used to identify bottlenecks and anti-patterns in the data flow. Precompetitive collaborations such as the Allotrope Foundation can allow enterprise to unite their forces in harnessing scientific data to develop advanced new medicines