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Published January 31, 2024 | Version v3.1.1

SWINNO - Database of Swedish Innovations

  • 1. ROR icon Lund University
  • 2. Lund Universitet Ekonomihogskolan
  • 3. Lunds Universitet

Contributors

  • 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

This version (v3.1.1) is the first public version of this new format, if you find any issues with the data please report them to Mathias.Johansson@kultur.lu.se 

Table of contents

The dataset is currently available in two formats:

  1. A database file (sqlite3) containing10 tables
  2. 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
md5:14254a32b22411a8c9be23dead18d13e
3.9 MB Download
md5:c26f21328657a92ff65f9ffd1db9ae0e
1.4 MB Preview Download