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Trusted Smart Statistics: new statistics for decision makers. The Istat’s experience

  • Massimo De Cubellis
  • Gerarda Grippo

The Trusted Smart statistics is an expression introduced by Eurostat to indicate the mature phase of the production of statistics based on Big Data and the transition from statistics based on traditional data sources to statistics created with new data sources. In this paper we will discuss: the impact of digital transformation in National Statistical Institutes (NSIs) and in their production of official statistics, how NSIs have adapted new research paradigms, how digital transformation has prompted National Statistical Institutes to adapt their production processes by exploiting new data sources, with the aim of improving statistical information also in terms of eg. of timeliness and granularity and strengthening their role in the ecosystem of scientific knowledge. This transformation process involves the entire organization in order to guarantee the same levels of relevance, quality and trust as traditional statistics. Istat, thanks to new data sources, increasingly performing technologies and specific skills, has positively seized the opportunities offered by the general context and has recently established a Trusted Smart Statistics Center (TSS Center) to have a governing body that systematically guides organizational adaptation at a technological, methodological, ethical, legal, communication and human resource level. The objective of the TSS Center is to capitalize the investments that Istat has made in European (e.g. ESSNet) and international (e.g. UNECE HLG-MOS) research projects, transferring the lessons learned and the know-how acquired in the statistics of new processes productive. At an organizational level, the TSS Center has the task of designing a sustainable organizational structure that helps and supports the individual company components to work in a systemic, coherent and synergistic way to create the new Trusted Smart Statistics production system.

  • Keywords:
  • new data sources,
  • Trusted smart statistics,
  • knowledge ecosystem,
  • official statistics,
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Massimo De Cubellis

ISTAT, Italian National Institute of Statistics, Italy - ORCID: 0000-0002-8197-7280

Gerarda Grippo

ISTAT, Italian National Institute of Statistics, Italy - ORCID: 0000-0001-7568-6252

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  2. European Statistical System Committee - Eurostat (2018). Bucharest memorandum on official statistics in a datafied society (Trusted Smart Statistics), Memorandum
  3. European Statistical System Committee - Eurostat (2013). Scheveningen memorandum on big data and official statistics, Memorandum
  4. Floridi L. (2017). La quarta rivoluzione, Raffaello Cortina Editore, Book
  5. Mayer-Schönberger V., Cukier K. (2013). Big data. A revolution that will transform how we live, work and think, Garzanti, Book
  6. Ricciato F., Wirthmann A., & Hahn M. (2020). Trusted Smart Statistics: how new data will change official statistics. Data & Policy, 2, E7, Journal Article
  7. Weinberger D. (2012). Too big to know, Basic Books, Book
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  • Publication Year: 2023
  • Pages: 125-128
  • Content License: CC BY 4.0
  • © 2023 Author(s)

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  • Publication Year: 2023
  • Content License: CC BY 4.0
  • © 2023 Author(s)

Chapter Information

Chapter Title

Trusted Smart Statistics: new statistics for decision makers. The Istat’s experience

Authors

Massimo De Cubellis, Gerarda Grippo

Language

English

DOI

10.36253/979-12-215-0106-3.22

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY 4.0

Metadata License

CC0 1.0

Bibliographic Information

Book Title

ASA 2022 Data-Driven Decision Making

Book Subtitle

Book of short papers

Editors

Enrico di Bella, Luigi Fabbris, Corrado Lagazio

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY 4.0

Metadata License

CC0 1.0

Publisher Name

Firenze University Press, Genova University Press

DOI

10.36253/979-12-215-0106-3

eISBN (pdf)

979-12-215-0106-3

eISBN (xml)

979-12-215-0107-0

Series Title

Proceedings e report

Series ISSN

2704-601X

Series E-ISSN

2704-5846

32

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