The road to FAIR data - OpenAIRE Blogs

"In the old days, all roads led to Rome. Nowadays, they all seem to lead to FAIR data, at least in the world of research. Regardless of one's research domain, the observations, interviews, responses, measurements, statistics, software code, should be findable, accessible, interoperable and reusable (FAIR). The aim is to make and keep data FAIR for humans and for machines alike. A scholarly environment that produces and supports FAIR research outputs is a more equitable one. That is why OpenAIRE, EOSC-hub, RDA Europe and FAIRsFAIR are committed to the FAIR principles as a key building block of this landscape."