KOSVED: Konstanz One-Sided Event Dataset

DOI

KOSVED provides detailed information on the magnitude and location of events of one-sided violence in 20 civil wars. Schneider and Bussmann (2013) describe the data set in detail. Information on the variables can be found in the KOSVED codebook

One-sided violence occurs frequently during war. Systematic research on this form of violence, however, only started to emerge since the 1990s. Most existing data sets only include information about the most serious episodes of one-sided violence like mass killings or genocides, or are temporarily or spatially highly aggregated. The KOSVED project offers detailed information about particular instances of one-sided violence.

For KOSVED data organized by event, please visit the KOSVED data page: https://cms.uni-konstanz.de/fileadmin/archive/kosved/polver/gschneider/forschung/kosved/data/index.html. When using KOSVED, please cite the data set article: Schneider, Gerald and Margit Bussmann. 2013. “Accounting for the Dynamics of One-Sided Violence: Introducing KOSVED”. Journal of Peace Research 50: (5) and, if needed, the codebook: Margit Bussmann and Gerald Schneider (with Constantin Ruhe, Adam Scharpf and Roos van der Haer). 2011. Konstanz One-Sided Violence Event Dataset (KOSVED) Codebook. Version 2.0.

Identifier
DOI https://doi.org/10.48606/9
Related Identifier https://doi.org/10.1177/0022343313492990
Metadata Access https://www.radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=datacite&identifier=10.48606/9
Provenance
Creator Schneider, Gerald ORCID logo; Bussmann, Margit
Publisher Universität Konstanz
Contributor RADAR
Publication Year 2021
Funding Reference German Peace Foundation https://ror.org/00rh0mt41 Other ; European Commission https://ror.org/00k4n6c32 Other ; University of Konstanz https://ror.org/0546hnb39 Other
Rights Open Access; Creative Commons Attribution 4.0 International; info:eu-repo/semantics/openAccess; https://creativecommons.org/licenses/by/4.0/legalcode
OpenAccess true
Representation
Language English
Resource Type Dataset
Format application/x-tar
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences