Michel Dumontier

Maastrictt University
Session: can we harmonize metadata


Accelerating biomedical discovery with FAIR

With its focus on investigating the basis for the sustained existence of living systems, modern biology has always been a fertile, if not challenging, domain to represent knowledge amenable to computational-based discovery. Indeed, the existence of millions of scientific articles, thousands of databases, and hundreds of ontologies, offers an exciting opportunity to reuse our collective knowledge, were we not stymied by incompatible formats, partial and overlapping standards, and heterogeneous data access.

In this talk, I will discuss our efforts to develop computational frameworks and methods to wrangle knowledge into simple, but effective representations and to make these FAIR – Findable, Accessible, Interoperable, and Reuseable. Our work sets the stage for a global revolution to take advantage of the data we already have and to increase our confidence and the evidence in reporting, validating, and generating novel scientific discoveries.