Disaggregated Conflict Dataset (DISCON) 1.0

DOI

The Disaggregated Conflict Dataset (DISCON) has been jointly released by Dr. Christoph Trinn, Institute for Political Science, Heidelberg, and the Heidelberg Institute for International Conflict Research (HIIK). DISCON is based on a broad-based, integrative concept of conflict. Drawing on news sources and academic analyses, DISCON currently comprises data on 156 violent and non-violent conflicts between states, between governments and rebel groups, and among non-state actors and in Asia and Oceania from 2000 to 2014. It is to be continually supplemented and updated. Whereas existing conflict datasets mainly restrict themselves to the number of fatalities as a measure of conflict intensity, the Heidelberg approach considers other consequences of political violence, as well. These include the number of displaced persons and the extent of destruction. In addition, the means of violence - weapons or personnel deployment - are recorded. Every violent conflict is broken down into months and first-level subnational regions such as provinces and states, and its intensity is assessed on the basis of the five indicators. In all, DISCON contains over 6300 region-month intensities with about 31,600 individual assessments.

Identifier
DOI https://doi.org/10.11588/data/10070
Metadata Access https://heidata.uni-heidelberg.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.11588/data/10070
Provenance
Creator Trinn, Christoph; Heidelberg Institute of International Conflict Research e.V. (HIIK)
Publisher heiDATA
Contributor Dr. Christoph Trinn, Institute for Political Science, Heidelberg University, Bergheimer Str. 58, 69115 Heidelberg, Germany; Trinn, Christoph; Heidelberg Institute of International Conflict Research e.V.; heiDATA: Heidelberg Research Data Repository
Publication Year 2016
Rights info:eu-repo/semantics/closedAccess
OpenAccess false
Contact Dr. Christoph Trinn, Institute for Political Science, Heidelberg University, Bergheimer Str. 58, 69115 Heidelberg, Germany (Institute for Political Science)
Representation
Resource Type Dataset
Format application/octet-stream; application/pdf
Size 469874; 137706; 198400
Version 1.1
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences
Spatial Coverage Heidelberg