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Indicators on firm level innovation activities from web scraped data

This article presents data on companies' innovative behavior measured at the firm-level based on web scraped firm-level data derived from medium-high and high-technology companies in the European Union and the United Kingdom. The data are retrieved from individual company websites and contains...

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Autores principales: Ashouri, Sajad, Suominen, Arho, Hajikhani, Arash, Pukelis, Lukas, Schubert, Torben, Türkeli, Serdar, Van Beers, Cees, Cunningham, Scott
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120249/
https://www.ncbi.nlm.nih.gov/pubmed/35599825
http://dx.doi.org/10.1016/j.dib.2022.108246
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author Ashouri, Sajad
Suominen, Arho
Hajikhani, Arash
Pukelis, Lukas
Schubert, Torben
Türkeli, Serdar
Van Beers, Cees
Cunningham, Scott
author_facet Ashouri, Sajad
Suominen, Arho
Hajikhani, Arash
Pukelis, Lukas
Schubert, Torben
Türkeli, Serdar
Van Beers, Cees
Cunningham, Scott
author_sort Ashouri, Sajad
collection PubMed
description This article presents data on companies' innovative behavior measured at the firm-level based on web scraped firm-level data derived from medium-high and high-technology companies in the European Union and the United Kingdom. The data are retrieved from individual company websites and contains in total data on 96,921 companies. The data provide information on various aspects of innovation, most significantly the research and development orientation of the company at the company and product level, the company's collaborative activities, company's products, and use of standards. In addition to the web scraped data, the dataset aggregates a variety firm-level indicators including patenting activities. In total, the dataset includes 21 variables with unique identifiers which enables connecting to other databases such as financial data.
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spelling pubmed-91202492022-05-21 Indicators on firm level innovation activities from web scraped data Ashouri, Sajad Suominen, Arho Hajikhani, Arash Pukelis, Lukas Schubert, Torben Türkeli, Serdar Van Beers, Cees Cunningham, Scott Data Brief Data Article This article presents data on companies' innovative behavior measured at the firm-level based on web scraped firm-level data derived from medium-high and high-technology companies in the European Union and the United Kingdom. The data are retrieved from individual company websites and contains in total data on 96,921 companies. The data provide information on various aspects of innovation, most significantly the research and development orientation of the company at the company and product level, the company's collaborative activities, company's products, and use of standards. In addition to the web scraped data, the dataset aggregates a variety firm-level indicators including patenting activities. In total, the dataset includes 21 variables with unique identifiers which enables connecting to other databases such as financial data. Elsevier 2022-05-06 /pmc/articles/PMC9120249/ /pubmed/35599825 http://dx.doi.org/10.1016/j.dib.2022.108246 Text en © 2022 Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Ashouri, Sajad
Suominen, Arho
Hajikhani, Arash
Pukelis, Lukas
Schubert, Torben
Türkeli, Serdar
Van Beers, Cees
Cunningham, Scott
Indicators on firm level innovation activities from web scraped data
title Indicators on firm level innovation activities from web scraped data
title_full Indicators on firm level innovation activities from web scraped data
title_fullStr Indicators on firm level innovation activities from web scraped data
title_full_unstemmed Indicators on firm level innovation activities from web scraped data
title_short Indicators on firm level innovation activities from web scraped data
title_sort indicators on firm level innovation activities from web scraped data
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120249/
https://www.ncbi.nlm.nih.gov/pubmed/35599825
http://dx.doi.org/10.1016/j.dib.2022.108246
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