SWINNO - Database of Swedish Innovations
Authors/Creators
- 1. Lund University
Description
The associated files are excerpts from the SWINNO-database of Swedish innovations. The database is constructed using the LBIO (Literature Based Innovation Output) method by the VINNOVA and LUSEM financed SWINNO project, led by Josef Taalbi at Lund University School of Economics and Management.
More information about the SWINNO project and the database can be found at:
https://www.lusem.lu.se/economic-history/databases/swinno
https://www.swedishinnovationdata.se
Details regarding the structure and variables are publicly available on:
https://swinnoproject.github.io/living_codebook/
Notes
Table of contents
The dataset is currently available in two formats:
- A database file (sqlite3) containing10 tables
- A zip file containing 10 UTF-8 encoded .csv files, one for each table
Technical info
The .csv files are n UTF-8 encoding.
Files
SWINNO.UDIT_csv.zip
Files
(5.3 MB)
| Name | Size | Download all |
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md5:14254a32b22411a8c9be23dead18d13e
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3.9 MB | Download |
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md5:c26f21328657a92ff65f9ffd1db9ae0e
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1.4 MB | Preview Download |