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Published April 14, 2024 | Version v3

SWINNO - Database of Swedish Innovations

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 3.3.0 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 two formats:

  1. A database file (sqlite3) containing10 tables
  2. A zip file containing 10 UTF-8 encoded .csv files, one for each table

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

Files (10.5 MB)

Name Size Download all
md5:3ae05bfe85584092dc719dc8b5d2f320
9.6 kB Preview Download
md5:f7a0fa4070671b1e625d2c8733e2a8bd
4.6 MB Download
md5:b82e18623533dbd8abcc88be77c5a7d3
4.3 MB Download
md5:8b63a7039b812356a6313aa878a9a5be
1.6 MB Preview Download