JRC Data Catalogue
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2017 PREDICT Dataset (deprecated)

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**NOTE:** *The 2017 PREDICT Dataset has been deprecated, and it is now superseded by its latest edition - 2019 PREDICT Dataset:*

http://data.europa.eu/89h/6c6f7ce7-893b-48e9-b074-2baaa4b6c7d8

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PREDICT includes statistics on ICT industries and their R&D in Europe since 2006. The project covers major world competitors including 40 advanced and emerging countries - the EU28 plus Norway, Russia and Switzerland in Europe, Canada, the United States and Brazil in the Americas, China, India, Japan, South Korea and Taiwan in Asia, and Australia -. The dataset provides indicators in a wide variety of topics, including value added, employment, labour productivity and BERD, distinguishing fine grain economic activities in ICT industries (up to 22 individual activities, 14 of which at the class level, i.e. at 4 digits in the ISIC/NACE classification), media and content industries (15 activities, 11 of them at 4 digit level) and at a higher level of aggregation for all the other industries in the economy. It also produces data on Government financing of R&D in ICTs, and total R&D expenditure. Nowcasting of more relevant data in these domains is also performed until a year before the reference date, while time series go back to 1995.

ICTs determine competitive power in the knowledge economy. The ICT sector alone originates almost one fourth of total Business expenditure in R&D (BERD) for the aggregate of the 40 economies under scrutiny in the project. It also has a huge enabling role for innovation in other technological domains. This is reflected at the EU policy level, where the Digital Agenda for Europe in 2010 was identified as one of the seven pillars of the Europe 2020 Strategy for growth in the Union; and the achievement of a Digital Single Market (DSM) is one of the 10 political priorities set by the Commission since 2015.

Contributors

How to cite

López-Cobo, Montserrat; De Prato, Giuditta; Mas, Matilde; Fernández de Guevara, Juan; Benages, Eva; Hernández, Laura; Mínguez, Consuelo; Pérez, Juan; Robledo, Juan Carlos; Salamanca, Jimena; Solaz, Marta (2026): 2017 PREDICT Dataset (deprecated). European Commission, Joint Research Centre [Dataset] doi: 10.2905/JRC.6GJTQF8 PID: http://data.europa.eu/89h/jrc-predict-predict2017-core

Keywords

digital economyICTICT industry analysisICT R&D and innovationinformation societyinnovationR&Dstatistics

Data access

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
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

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

  • The compressed zip file contains two Excel files splitting the complete 2017 PREDICT Dataset into: macroeconomic variables and R&D related variables.

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
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

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

  • The compressed zip file contains a CSV file including the complete 2017 PREDICT Dataset

Other resources

HTML

HTML is the standard markup language used to create web pages and its elements form the building blocks of all websites.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

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

  • PREDICT webpage (European Commission - JRC Science Hub)

Publications

Publication
Mas M; Fernández De Guevara Radoselovics J; Robledo J; Lopez Cobo M. The 2017 PREDICT Key Facts Report. An Analysis of ICT RandD in the EU and Beyond. EUR 28594 EN. Luxembourg (Luxembourg): Publications Office of the European Union; 2017. JRC106658
Publications Office of the European Union, Luxembourg, Luxembourg
  • The 2017 PREDICT Key Facts Report provides a detailed analysis of the state of ICT R&D activities in the European Union. This is the tenth edition of a series that is published annually. Like the previous editions, an online version is available at: https://ec.europa.eu/jrc/en/predict.

    The PREDICT dataset 2017 is based on the latest data available from official sources (such as the Eurostat and OECD, National Accounts and R&D statistics). It also includes the novelty of backwards reconstruction of the series from 1995, which allows it to cover the period from 1995 to 2014. Therefore, it provides a long-term analysis of the EU ICT sector and its R&D, covering a whole cycle since the initial expansion years, the double recession that began in early 2008, and the most recent evolution up to 2014.

Publication
Benages E; Hernández L; Mínguez C; Pérez J; Robledo J; Salamanca J; Solaz M; Lopez Cobo M; Rossetti F. The 2017 PREDICT Dataset Methodology. EUR 28595 EN. Luxembourg (Luxembourg): Publications Office of the European Union; 2017. JRC106713
Publications Office of the European Union, Luxembourg, Luxembourg
  • This methodological report details the work done in the Prospective Insights on R&D in ICT (PREDICT) project in 2017. PREDICT provides updated indicators for the Information and Communication Technologies (ICT) sector and for its Research and Development (R&D) in the European Union and in the major ICT leaders worldwide. This project is being carried out jointly by the Joint Research Centre, Directorate B and the Directorate General for Communications Networks, Content and Technology (DG CNECT) of the European Commission. The data and methodologies have been developed in collaboration with the Valencian Institute of Economic Research (IVIE).

    The 2017 PREDICT Dataset has been deepened and expanded in this latest version in order to include complementary dimensions, such as the Media and Content sector and sub-sectors. An updated methodology for estimating ICT Government Budget allocations for Research and Development (ICT GBARD) has been applied. Furthermore, for the most important indicators, existing PREDICT time series have been reconstructed back to 1995, while figures are now-casted for 2015 and 2016.

Temporal coverage

From date To date
1995-01-01 2016-12-31

Additional information

Published by
European Commission, Joint Research Centre
Contact email
montserrat.lopez-cobo (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

Geographical name(s)
Issued date
2017-05-10
Created date
14 Dec 2018 10:42
Modified date
31 Aug 2022 14:55
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Dataset identifier
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