These slides were presented at the internal monthly meetings of the Comunità italiana dei data stewards (CIDS). We motivated our talk by differentiating our approach from FAIRification, understood as post-hoc data curation. We presented a set of definitions, including the first definition of FAIR-by-design data journey and the concept of machine actionability as dependent on compatibility between (meta)data objects and system features. We provided a blueprint for FAIR-by-design data journeys, to be implemented through an algorithm that relies on a new understanding of the Data Management Plan (DMP) as a mathematical function. Finally, we illustrated a series of relevant use cases of our approach in materials science and genomics.The slides were presented in Italian but written in English to further access to a wider public.
Bazzocchi et al. (Wed,) studied this question.