The concept of Findable, Accessible, Interoperable and Re-usable (FAIR) data has become widely disseminated since it was first put forward by Wilkinson et. al. in 2016. A recent example of this is the Beijing Declaration of Research Data from the International Science Council.1 The FAIRplus project has the aim to improve the FAIRness of at least 20 IMI projects, as well as of internal datasets from EFPIA companies. FAIRification opens up the data for re-use by making them findable and machine-readable under clear governance rules about access to sometimes sensitive data. Task 4.4 of the FAIRplus project aims to engage with key policy makers in national and European organisations across all relevant sectors to help ensure a conducive environment for the FAIRification of industry and IMI data in general and help academic participants to provide a stable foundation for the long-term storage of these data.