2026-10-07 https://api.researchdata.se/oai-pmh

oai:researchdata.se:doi-10-5281-zenodo-21872884/0 2026-08-08 subject:ssif:502 subject:ssif:5 subject:ssif:50203 principal:slug:lund-university

info:eu-repo/semantics/other http://purl.org/dc/dcmitype/Dataset https://doi.org/10.5281/zenodo.21872884 SWINNO - Database of Swedish Innovations https://orcid.org/0000-0002-2560-9504 https://orcid.org/0000-0001-7869-7766 https://orcid.org/0000-0002-4186-8338 https://orcid.org/0000-0001-7251-8173 https://orcid.org/0000-0002-6739-8071 van der Most, Frank 0000-0002-3338-0551 Isaksson, Markus Nyqvist, Jakob Karlsson, Linnea Kilicaslan, Asli Kander, Amanda Zolotov, Nora Ek, Axel Eriksson, Björn Fischer, Josephine Hane-Weijman Jansson, Emelie Jeppsson, Johanna Krumova, Ralitsa Lilja, Jonas Littorin, Jacob Economics and Business Ekonomi och näringsliv Economic History Ekonomisk historia 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/swinnohttps://www.swedishinnovationdata.se Details regarding the structure and variables are publicly available on:https://swinnoproject.github.io/living_codebook/ 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  The .csv files are n UTF-8 encoding. info:eu-repo/semantics/openAccess Lund University Lunds universitet 2026-08-10T00:00:00Z swe