- Data, Statistics and AI for Well-Being of People and Organisations
- A cura di Luigi Fabbris, Alberto Franci, Pietro Renzi
AI and data governance in the EU digital single market. What contribution from national statistical institutes?
- Roberto Puglisi
- © 2026 Author(s) |
- CC BY 4.0
- DOI: 10.36253/979-12-215-1062-1.59
One of the essential features of the policies implemented by the EU to guide the digital transformation is the adoption of a coordinated series of legislative initiatives aimed at building a Digital Single Market governed by fundamental principles to protect individual freedoms. GDPR, Data Act, Data Governance Act (DGA), AI Act, Open Data and Public Sector Information Directive, NIS2 Directive, ePrivacy Directive are the main junctures of this regulatory framework within which NSIs have been recognized as having an active role in the European Data Governance system; the DGA indicates the NSIs as entities with specific skills to be considered for the establishment of a European committee for innovation in the field of data and, therefore, the renewed regulation on European statistics provides for the assignment to the NSIs of functions within the national data governance systems "with the aim of promoting the integration and interoperability of data, the description of metadata, the assurance of quality and the definition of standards, the sharing and reuse of data". At the same time, evidently, the adequacy of data governance practices is one of the requirements of an AI system. As part of the data strategy implemented at the national level, Istat – as a national point of reference for the classification of economic, demographic and social phenomena by defining methodologies and nomenclatures for data processing – is involved in promoting the development of semantic interoperability between public information systems through the National Data Catalog (Schema.gov.it), a PNRR Project focused on the modeling of semantic resources such as, above all, ontologies (formal models of knowledge domain). The importance of semantic resources in the field of AI is measured in the possibility of providing, thanks to the relationships established between concepts, the AI model with a structure of the meaning of words that goes beyond their simple sequence.
- Keywords:
- Frailty,
- Healthcare services,
- Bibliometric analysis,
- Old people,
ISTAT, Italian National Institute of Statistics, Italy
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Informazioni sul capitolo
Titolo del capitolo
AI and data governance in the EU digital single market. What contribution from national statistical institutes?
Autori
Roberto Puglisi
Lingua
Inglese
DOI
10.36253/979-12-215-1062-1.59
Opera sottoposta a peer review
Anno di pubblicazione
2026
Copyright
© 2026 Author(s)
Licenza d'uso
Licenza dei metadati
Informazioni bibliografiche
Titolo del libro
Data, Statistics and AI for Well-Being of People and Organisations
Curatori
Luigi Fabbris, Alberto Franci, Pietro Renzi
Opera sottoposta a peer review
Numero di pagine
420
Anno di pubblicazione
2026
Copyright
© 2026 Author(s)
Licenza d'uso
Licenza dei metadati
Editore
Firenze University Press
DOI
10.36253/979-12-215-1062-1
ISBN Print
979-12-215-1061-4
eISBN (pdf)
979-12-215-1062-1
eISBN (xml)
979-12-215-1063-8
Collana
Applied Statistics Series