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Data for PeaceKeeping Operations Corpus (PKOC) Archives

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Amicarelli, Elio and Di Salvatore, Jessica (2021) Data for PeaceKeeping Operations Corpus (PKOC) Archives. [Dataset]

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Official URL: https://dataverse.harvard.edu/dataverse/pkoc

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Abstract

Scholars have used United Nations Secretary General's (UNSG) reports to extract information on peacekeeping operations (PKOs). As key peacekeeping political documents, UNSG reports contain much more information on the politics of peacekeeping. Furthermore, manually extracting information is costly and time-consuming. By providing a machine-readable collection of the UN Secretary General's Reports on PKOs (1994-2020), the PeaceKeeping Operations Corpus (PKOC) offers highly structured and multiformat text data that connects the peace and conflict research community to recent advancements in text-as-data techniques. Besides paving the way for the first quantitative content analyses on PKOs, PKOC speeds up and expands the range of information analysable from these documents and allows researchers to query them in a quicker, systematic and reproducible way. In this article, we discuss PKOC's core characteristics. As illustration of the innovative potential of PKOC, we show how text-as-data approaches provide more nuanced understanding on PKOs evolution toward multidimensionality, both over time and within missions. While last generation PKOs are assumed to be multidimensional, we show how they vary in multidimensionality and how their complexity also changes throughout their life-cycle.

Item Type: Dataset
Subjects: J Political Science > JZ International relations
Divisions: Faculty of Social Sciences > Politics and International Studies
Type of Data: Reference data
Library of Congress Subject Headings (LCSH): United Nations -- Peacekeeping forces, Peacekeeping forces, Intervention (International law), Discourse analysis -- Mathematical models, United Nations -- Armed Forces -- Statistics
Publisher: University of Warwick, Department of Politics and International Studies (PIAS)
Official Date: 8 March 2021
Dates:
DateEvent
8 March 2021Created
Status: Not Peer Reviewed
Publication Status: Published
Media of Output (format): .txt
Access rights to Published version: Open Access (Creative Commons)
Copyright Holders: University of Warwick
Description:

Data record is split into two records containing text files. The first record is the text archive, the second record contains the dictionary archive. Both records contain an accompanying readme file. The GitHub link is a public repository containing the documentation and project codes.

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Contributors:
ContributionNameContributor ID
DepositorDi Salvatore, Jessica 87574

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