SWINNO - Database of Swedish Innovations
Creators
-
1.
Lund University
- 2. Lund Universitet Ekonomihogskolan
- 3. Lunds Universitet
Contributors
Data collectors:
Data manager:
Distributor:
- 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
Version 3.3.1 fixes a bug in the bio-econ variable and uses the same name for the SQLite3 file as previous releases.
Version 3.3.0 adds preliminary mappings to organisation numbers and a bio-economy classification to innovations.
If you find any issues with the data please report them to Mathias.Johansson@kultur.lu.se
Table of contents
The dataset is published in three formats:
- A database file (sqlite3) containing10 tables
- A zip file containing 10 UTF-8 encoded .csv files, one for each table
- An Excel-file using the original formatting.
See readme.txt for more details on the different tables and fields included in the data.
Technical info
The .csv files are n UTF-8 encoding.
Files
README.txt
Additional details
Related works
- Has metadata
- Software documentation: 10.5281/zenodo.15234615 (DOI)
- Is documented by
- Other: 10.5281/zenodo.15241600 (DOI)
- Is referenced by
- Computational notebook: 10.5281/zenodo.15512774 (DOI)