A Longitudinal dataset of sector-level patent data for Europe

This paper presents a comprehensive dataset of patent applications and grants at the 2-digit ISIC Rev.4/NACE Rev.2 sector level for a set of 24 European countries from 1985 to 2020. The data are assigned to sectors by applying weights of sector-technology field correspondence to European Patent Office (EPO) patent data retrieved from OECD. The dataset provides patent data based on the applicant's and inventor's country of residence, on an annual basis, in two formats: i) patent applications and grants at priority dates (flows), and ii) patent applications and grants stocks, estimated through the perpetual inventory method (PIM) using a 15 % deprecation rate. This unique dataset is suitable for sector/industry-level empirical research in the economic analysis of technology and R&D, indicatively in the fields of economics of innovation, international economics and industrial organization. Furthermore, it serves as a valuable resource for economic policy studies, especially in areas related to industry and science, technology, and innovation (STI) policy research.

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Publication Details

Journal
Data in Brief
Published
2025-09-23
DOI
https://doi.org/10.1016/j.dib.2025.112095
Citations
1
Primary Topic
Intellectual Property and Patents
Type
article
Field-Weighted Citation Impact
2.76
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article

A Longitudinal dataset of sector-level patent data for Europe

Athanase D. Protogerou, Petros Dimas, Dimitrios Stamopoulos
1 citations
Data in Brief
Intellectual Property and Patents
2.76
article

A Longitudinal dataset of sector-level patent data for Europe

Athanase D. Protogerou, Petros Dimas, Dimitrios Stamopoulos
article en
1 citations

Abstract

This paper presents a comprehensive dataset of patent applications and grants at the 2-digit ISIC Rev.4/NACE Rev.2 sector level for a set of 24 European countries from 1985 to 2020. The data are assigned to sectors by applying weights of sector-technology field correspondence to European Patent Office (EPO) patent data retrieved from OECD. The dataset provides patent data based on the applicant's and inventor's country of residence, on an annual basis, in two formats: i) patent applications and grants at priority dates (flows), and ii) patent applications and grants stocks, estimated through the perpetual inventory method (PIM) using a 15 % deprecation rate. This unique dataset is suitable for sector/industry-level empirical research in the economic analysis of technology and R&D, indicatively in the fields of economics of innovation, international economics and industrial organization. Furthermore, it serves as a valuable resource for economic policy studies, especially in areas related to industry and science, technology, and innovation (STI) policy research.

Data in BriefVol. 63
National Technical University of Athens (GR), University of the Aegean (GR)
Openalex Percentile: Top 8%
Intellectual Property and Patents
2.76
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