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PSTW November 2024 - PSTW reference dataset

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This is the set of 1,617 cases of adoption of innovative technologies in the public sector in Europe, associated with the PSTW November 2024 report "Adoption of AI, Blockchain, and Other Emerging Technologies within the European Public Sector" (NO-01-24-001-EN-N).

Contributors

Joint Research Centre European Commission

How to cite

European Commission, Joint Research Centre (2026): PSTW November 2024 - PSTW reference dataset. [Dataset] doi: 10.2905/JRC.WTN41P0 PID: http://data.europa.eu/89h/97675d46-95d3-4bef-ab2f-d7c411e83706

Keywords

Artificial IntelligenceBlockchainInteroperabilityPublic SectorVirtual Words

Data access

PSTW_Dataset_Landscape_Report_2024 (XLS)
Excel XLS

XLS is a proprietary binary file format used for Microsoft Excel spreadsheet which features calculation, graphing tools, pivot tables and a macro programming language.
Downloadable file

A downloadable file for the dataset.

Use conditions
Creative Commons Attribution 4.0 International

CC BY 4.0 lets others distribute, remix, tweak, and build upon the author’s work, even commercially, as long as they credit the author for the original creation. This is the most accommodating of licences offered. Recommended for maximum dissemination and use of licenced materials.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

PSTW_Dataset_Landscape_Report_2024 (XLSX)
Excel XLSX

XLSX is the default file format for Excel 2007 and later workbook used for Microsoft Excel spreadsheet which features calculation, graphing tools, pivot tables and a macro programming language. XLSX is in reality a ZIP compressed archive with a directory structure of XML text documents.
Downloadable file

A downloadable file for the dataset.

Use conditions
Creative Commons Attribution 4.0 International

CC BY 4.0 lets others distribute, remix, tweak, and build upon the author’s work, even commercially, as long as they credit the author for the original creation. This is the most accommodating of licences offered. Recommended for maximum dissemination and use of licenced materials.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

PSTW_Dataset_Landscape_Report_2024 (ODS)
ODS

ODS is an OpenDocument file format for spreadsheets. OpenDocument was developed with the aim of providing an open, XML-based file format specification for office applications.
Downloadable file

A downloadable file for the dataset.

Use conditions
Creative Commons Attribution 4.0 International

CC BY 4.0 lets others distribute, remix, tweak, and build upon the author’s work, even commercially, as long as they credit the author for the original creation. This is the most accommodating of licences offered. Recommended for maximum dissemination and use of licenced materials.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

PSTW_Dataset_Landscape_Report_2024 (CSV)
CSV

CSV – comma-separated values – files store tabular data (numbers and text) in plain text. Each line of the file is a data record. Each record consists of one or more fields, separated by commas.
Downloadable file

A downloadable file for the dataset.

Use conditions
Creative Commons Attribution 4.0 International

CC BY 4.0 lets others distribute, remix, tweak, and build upon the author’s work, even commercially, as long as they credit the author for the original creation. This is the most accommodating of licences offered. Recommended for maximum dissemination and use of licenced materials.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

Publications

Publication
Adoption of AI, Blockchain and other emerging technologies within the European public sector
European Commission. Public Sector Tech Watch: Adoption of AI, Blockchain and other emerging technologies within the European public sector. Publications Office of the European Union, Luxemburg, 2024, ISBN 978-92-68-11627-2, doi: 10.2799/4393 Keywords

Temporal coverage

From date To date
N/A 2024-07-30

Additional information

Published by
European Commission, Joint Research Centre
Contact email
JRC-DIGITAL-GOVERNANCE (at) ec.europa.eu
Update frequency
irregular

The event occurs at uneven intervals.

Data theme(s)
Government and public sector

dataset theme covering the areas of government and the public sector, government being the system or group of individuals governing an organised community, usually a state, and the public sector comprising the segment of the economy involving public services and enterprises, which may be managed by central, regional or local authorities

Issued date
2024-11-25
Created date
26 Nov 2024 09:15
Modified date
05 Jun 2025 07:25
Dataset identifier
http://data.europa.eu/89h/97675d46-95d3-4bef-ab2f-d7c411e83706
Other identifiers
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