A broad community of stakeholders recently published a set of guiding principles for contemporary scholarly data publishing, with the goal of ensuring that scientific data should be Findable, Accessible, Interoperable, and Reusable (FAIR). These principles have been elaborated to provide specific guidance for the kinds of properties and behaviors data should exhibit that allow them to be discovered and used by both humans and machines. FAIR Data can also be positioned in a broader scope of Data Stewardship, which relates to concerns before, during and after data creation and manipulation. Concerns such as how data will be created, in which context, where are they going to be stored, what are the creation, validation and publication process, what are the medium- and long-term sustainability plans for the data, among others.
