In 2014, a diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles known as FAIR Data Principles, i.e. principles aiming at facilitating humans and / or machines in the “(re-)use” of data by making such data Findable, Accessible, Interoperable, and Reusable. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data.