Since 2014 when they were first launched, the FAIR data principles are getting more and more attention in the research and open science community. Developed in reaction to the incidents with fraudulent research data, by making the data Findable, Accesible, Interoperable and Reusable these incidents should be avoided.
For preservationists it was long unclear whether the “R” included preservation. Reusable data at least require some form of preservation, even if you will preserve the data for 10 years – as required by many funding bodies. The latest EU publication “ Turning FAIR into reality” is clear about this. Lees verder