Is it FAIR or FAIR enough?

The current amount of scientific scholarly output is immense. In order to make further progress we have to make this output available and reusable. The digital age brought about a huge number of platforms that facilitate distribution of scholarly output. However, are all platforms guided by the FAIR (Findable Accessible Interoperable Reusable) principles? The FAIR Principles specify the need for machines to automatically find and use the scientific data, in addition to supporting its reuse by individuals. Responsibility lies with the individuals and institutions to implement every aspect of the FAIR principles to maximize that the scientific output is findable, accessible, interoperable and reusable.