FAIR-by-design Data Journey. A Blueprint

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.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-27
DOI
https://doi.org/10.5281/zenodo.20414444
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

FAIR-by-design Data Journey. A Blueprint

Federica Bazzocchi, Filippo Vasone
Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

FAIR-by-design Data Journey. A Blueprint

Federica Bazzocchi, Filippo Vasone
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Vitenparken (NO), University of Bologna (IT)
Openalex Percentile: Top 3%
Research Data Management Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.