Projects per year
Description
This technical note reports on a write-up of three pilot cases done during the BIG-PROD project. Using a novel web scraped company website data of approximately 100 000 companies, the note reports on a comparison of NACE and Microsoft Aca-demic Graph (MAG) based industry classifications, Field of Study (FOS) code based digitalization score and academy-Industry collaboration based on website data. The technical note is intended to open discussion of the potential of the web scraped data based indicators compared to existing innovation measures.
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
This site includes records provided by Elsevier's Data Monitor product. University of Strathclyde does not control or guarantee the accuracy, relevance, or completeness of the information contained in such records and accepts no responsibility or liability for such information.
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
This site includes records provided by Elsevier's Data Monitor product. University of Strathclyde does not control or guarantee the accuracy, relevance, or completeness of the information contained in such records and accepts no responsibility or liability for such information.
Date made available | 15 Jun 2023 |
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Publisher | DataverseNL |
Date of data production | 2022 |
Projects
- 1 Finished
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BIGPROD: Addressing productivity paradox with big data: implications to policy making
Cunningham, S. (Principal Investigator)
European Commission - Horizon Europe + H2020
1/12/19 → 30/11/21
Project: Research
Datasets
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Replication Data for: BIGPROD Data Sample - Second Version
Ashouri, S. (Creator), Hajikhani, A. (Creator), Suominen, A. (Creator), Jäger, A. (Creator), Schubert, T. (Creator), Cunningham, S. (Creator), Van Beers, C. (Creator), Türkeli, S. (Creator) & Notten, A. (Contributor), DataverseNL, 16 Jun 2023
DOI: 10.34894/bs9xvr, https://doi.org/10.34894/CI5XRR
Dataset