Blueprint details a fair-by-design approach for data management, enhancing data usability in science.
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.
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Bazzocchi et al. (2026) studied this question.
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