Making ends meet

Combining organizational data in contentious politics

Bibliographic Data

ID3917907
AuthorsVictor Asal (0000-0001-7614-4869, Center for Policy Research, University at Albany, State University of New York (SUNY), corresponding author), Ken Cousins (Center for Policy Research, University at Albany, State University of New York (SUNY)), Kristian Skrede Gleditsch (0000-0003-4149-3211, Department of Government, University of Essex & Peace Research Institute Oslo (PRIO))
Year2015
Volume52
Issue1
Pages134-138
Publication date2015-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Peace Research (JOURNAL)
Journal identifiersISSN: 0022-3433 • E-ISSN: 1460-3578
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/0022343314545903
OpenAlexW2113552714
LanguageEN
Citations received7
References cited16

A growing number of datasets collect information reflecting the behavior and characteristics of contentious and violent organizations. Most of these datasets are not arranged so that they can be easily combined for analytical purposes. In particular, there is a lack of common identifiers for organizations. This creates a great deal of duplication of effort as well as many potential stumbling blocks for those who would like to combine information from different datasets for new analyses or research questions. We describe an existing effort to overcome common challenges and link organizations called the Terrorist Organization (TORG) crosswalk. We further propose a new effort, a Shared Contentious Actor Registry (SCAR), to allow for a more comprehensive and concerted effort to meet the challenges in linking data

Computer security · Data science · Identifier · Schema crosswalk · Transport engineering · Computer Science · Crime, Illicit Activities, and Governance · Engineering · Political Conflict and Governance · Terrorism, Counterterrorism, and Political Violence

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