Сравнение методов

	Global Terrorism Database Analysis	UCDP Conflict Data Analysis
Область	International Relations	International Relations
Семейство	Process / pipeline	Process / pipeline
Год появления	2007	2013
Автор метода	Gary LaFree & Laura Dugan (START, University of Maryland)	Uppsala Conflict Data Program (Ralph Sundberg & Erik Melander for UCDP-GED)
Тип	Coding and analysis of terrorist incidents	Coding and analysis of organized-violence events and conflicts
Основополагающий источник	LaFree, G., & Dugan, L. (2007). Introducing the Global Terrorism Database. Terrorism and Political Violence, 19(2), 181–204.	Sundberg, R., & Melander, E. (2013). Introducing the UCDP Georeferenced Event Dataset. Journal of Peace Research, 50(4), 523–532.
Другие названия	GTD Analysis, Terrorism Event Data Analysis, START GTD Analysis, Terrorist Incident Database Analysis	UCDP Analysis, UCDP Georeferenced Event Dataset Analysis, Uppsala Conflict Data Analysis, Organized Violence Event Analysis
Связанные	3	3
Сводка	Global Terrorism Database (GTD) analysis is the quantitative study of terrorism using the open-source incident database maintained by the START center at the University of Maryland and introduced by LaFree and Dugan (2007). The GTD codes tens of thousands of terrorist attacks since 1970 against explicit inclusion criteria, recording each incident's date, location, perpetrator, target, tactic, and human and material consequences. Analysts use it to map trends, profile groups and tactics, and model the causes and effects of terrorism.	UCDP conflict data analysis is the coding and quantitative study of organized violence using the datasets of the Uppsala Conflict Data Program. UCDP distinguishes three categories of organized violence — state-based armed conflict, non-state conflict, and one-sided violence against civilians — and codes them from the level of individual fatal events up to annual conflict dyads. The Georeferenced Event Dataset (UCDP-GED), introduced by Sundberg and Melander (2013), pins each event to a place and date, enabling fine-grained spatial and temporal analysis of where and when violence occurs.