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DGTES database 2022

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The DGTES digital ecosystem database is generated form the application of the Techno-Economic ecosystem (TES) methodological approach to the study of the digital ecosystem from a multidimensional perspective, providing an overview of the worldwide landscape of the digital ecosystem.

The main elements of the DGTES digital ecosystem database are players and activities. The unit of the analysis is the economic agent, or player, that can be a company, university, research institution or governmental authority. The player is expected to have an active role in the digital ecosystem, with the capability to influence its economic development and future evolution. The focus is thus set on the organisations, and not on individuals, namely the applicant organisation owning the invention in the case of patents, authors’ affiliation in conference proceedings, companies, governmental entities, etc.

The DGTES dataset targets both industrial and R&D activities: economic activities of interest for the analysis of the DGTES include participation in R&D processes (research, in the sense of publication of scientific articles or/and participation in international conferences; innovative developments, such as filing patents; participation in EU research funds, such as Horizon 2020 or FP7), general economic processes (industrial production, trade), firms funding (venture capital funds). The results are provided aggregated by country of location of the institutions concerned.

The DGTES database reflects the complex structure of the digital ecosystem, as it contains detailed information about the participation of each player in the detected activities and about their features, such as information on geographical location and date, over the period 2009-2022.

To obtain this database, DGTES uses a comprehensive dictionary of keywords built for the specific domain of digital technologies to search through different sources of factual data, and to identify players, activities and their networks of connections and interlinkages.

Contributors

How to cite

Giuditta De Prato, Elisa Calza, Michele Carenini (2026): DGTES database 2022. European Commission, Joint Research Centre [Dataset] doi: 10.2905/JRC.WGM4MV0 PID: http://data.europa.eu/89h/1e0c26f9-09ea-4cb3-9b4c-ff97e165bce7

Keywords

digital technologiesecosystem

Data access

ZIP

ZIP is an archive file format that supports lossless data compression. A ZIP file may contain one or more files or directories that may have been compressed.

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.

  • The zip file below contains the list of keywords used to generate the current version of the DGTES digital ecosystem database (2022, version 1). Each keyword belongs to one of the identified digital areas that define the technological boundaries of the digital ecosystem.

Publications

Publication
DGTES keyword list 2022 (2022), version 1.

Temporal coverage

From date To date
2009-01-01 2022-01-01

Additional information

Published by
European Commission, Joint Research Centre
Contact email
giuditta.de-prato (at) ec.europa.eu
Update frequency
irregular

The event occurs at uneven intervals.

Language(s)
English

English is a member of the West Germanic group of the Germanic languages. It is an official language of almost 60 sovereign states and is now a global lingua franca.It is the third-most-common native language in the world and it is widely learned as a second language.

Data theme(s)
Economy and finance

dataset theme covering the domains of economic activity which involves production, distribution, trade, and consumption of goods and services, and finance activity focusing on the management of money at the individual, company, or government level

Science and technology

dataset theme covering the domains of science and technology, with science being the systematic pursuit of knowledge through testable explanations and predictions across natural, social, and formal disciplines, and technology encompassing the collective techniques, skills, methods, and processes used in producing goods, providing services, or achieving objectives like scientific research

Issued date
2022-08-29
Created date
19 Jul 2022 10:26
Modified date
29 Aug 2022 08:38
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Dataset identifier
Other identifiers
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