Indicators on firm level innovation activities from web scraped data

Sajad Ashouri; Arho Suominen; Arash Hajikhani; Lukas Pukelis; Torben Schubert; Serdar Türkeli; Cees Van Beers; Scott Cunningham

doi:10.1016/j.dib.2022.108246

Indicators on firm level innovation activities from web scraped data

Sajad Ashouri, Arho Suominen^*, Arash Hajikhani, Lukas Pukelis, Torben Schubert, Serdar Türkeli, Cees Van Beers, Scott Cunningham

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

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.

Original language	English
Article number	108246
Number of pages	14
Journal	Data in brief
Volume	42
DOIs	https://doi.org/10.1016/j.dib.2022.108246
Publication status	Published - Jun 2022

Keywords

Big data
Web scraped data
Text data
Innovation
Firm-level data

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10.1016/j.dib.2022.108246Licence: CC BY

Replication Data for: BIGPROD Data Sample
Ashouri, S. (Creator), Hajikhani, A. (Contributor), Suominen, A. (Contributor), Jäger, A. (Contributor), Schubert, T. (Contributor), Pukelis, L. (Contributor), Cunningham, S. (Contributor), Van Beers, C. (Contributor) & Turkeli, S. (Contributor), DataverseNL, 4 Oct 2021
DOI: 10.34894/ci5xrr, https://dataverse.nl/citation?persistentId=doi:10.34894/CI5XRR
Dataset/Software: Dataset

Cite this

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title = "Indicators on firm level innovation activities from web scraped data",

abstract = "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.",

keywords = "Big data, Web scraped data, Text data, Innovation, Firm-level data",

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note = "data source:",

year = "2022",

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doi = "10.1016/j.dib.2022.108246",

language = "English",

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TY - JOUR

T1 - Indicators on firm level innovation activities from web scraped data

AU - Ashouri, Sajad

AU - Suominen, Arho

AU - Hajikhani, Arash

AU - Pukelis, Lukas

AU - Schubert, Torben

AU - Türkeli, Serdar

AU - Van Beers, Cees

AU - Cunningham, Scott

N1 - data source:

PY - 2022/6

Y1 - 2022/6

N2 - 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.

AB - 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.

KW - Big data

KW - Web scraped data

KW - Text data

KW - Innovation

KW - Firm-level data

U2 - 10.1016/j.dib.2022.108246

DO - 10.1016/j.dib.2022.108246

M3 - Article

C2 - 35599825

SN - 2352-3409

VL - 42

JO - Data in brief

JF - Data in brief

M1 - 108246

ER -

Indicators on firm level innovation activities from web scraped data

Abstract

Keywords

Access to Document

Datasets

Replication Data for: BIGPROD Data Sample

Cite this