Since 2008, numerous IMI consortia have been generating results in a diverse set of biomedical domains. In many projects these results have been stored in a custom database, sufficient for the project itself but difficult to access by scientists outside the project. The same is true for many internal industry research and development databases.
Making a significant portion of the data from IMI projects accessible and interoperable with other datasets and databases will greatly improve the use and impact of the data for translational biomedical research.
The concept of FAIR data (Findable, Accessible, Interoperable, Reusable) is perfectly suited for this task
The project will focus on IMI projects that have data that is scientifically valuable and amenable to being made FAIR. It is expected that the databases of more than 20 IMI projects will be made FAIR in this project. All IMI projects will be assessed for the presence of such data that requires FAIRification, though it should be noted that IMI2 projects are already required to manage their data according to similar protocols.