A Dataset on the Discourse, Approach and Outcomes of UN Peacekeeping, 1993–2019
This dataset is based on NVivo coding of each UN Security Council resolution since Resolution 864 (1993) until the end of year 2019 (Resolution 2503) for their reference to protection. Every word "protect" and words stemmed from it, is coded for its (a) referent object, (b) agent, and (c) method of protection.
- Categories of referent object used in the coding are (a) protector itself (UN and other humanitarian workers), (b) partisan referent (constituencies of one but not the other conflicting party), (c) cosmopolitan (referent object is what chapter 1 of the source book defines as “global civilian”), (d) the environment, (e) other.
- Categories for agent of protection are (a) UN Security Council, (b) UN General Assembly, (c) UN Secretary General or Secretariat, (d) Other UN, (e) Peacekeeping operation, (f) Conflicting party, (g) External Western agent, (h) External non-Western agent, (i) Representative regional agent, (j) National or international law.
- Method of protection is classified simply as power-centric or not power-centric. The definition of power-centricity is from Chapter 1 of the source book.
In addition to data on the UN discourse, which originates from the UNSC resolution depository (https://www.un.org/securitycouncil/content/resolutions-0), there are variables on the number of fatalities in countries where UN conducts peacekeeping, before, during and after UN operation during the post-Cold War era. These files also contain data on the development of fatalities in countries where unilateral protective operations have been conducted. All conflict fatality data is annual and taken from Uppsala Conflict Data Program’s annual battle deaths data, data on one-sided violence, and data on non-state conflict.
Definitions and data on state fragility and fatalities of conflict is from the source book, and from Kivimäki, Timo 2019a. The Failure to Protect. The Path to and Consequences of Humanitarian Interventionism. Cheltenham: Edward Elgar Publishing.
The data enables the study of the relationships between discursive developments, discursive strategies and approaches on the one hand and the development of fatalities of violence where UN operations take place. It enables comparison between UN peacekeeping operations and comparison in time.
Cite this dataset as:
Kivimäki, T.,
2021.
A Dataset on the Discourse, Approach and Outcomes of UN Peacekeeping, 1993–2019.
Bath: University of Bath Research Data Archive.
Available from: https://doi.org/10.15125/BATH-00783.
Export
Data
UNSC 93 94.nvp
application/octet-stream (58MB)
Creative Commons: Attribution 4.0
NVivo coding of selected word frequencies and the (a) referent object, (b) agent, and (c) power-bias of the verb "protect" in UN Security Council Resolutions, years 1993-1994
UNSC 95 96.nvp
application/octet-stream (40MB)
Creative Commons: Attribution 4.0
NVivo coding of selected word frequencies and the (a) referent object, (b) agent, and (c) power-bias of the verb "protect" in UN Security Council Resolutions, years 1995-96
UNSC 97 98.nvp
application/octet-stream (40MB)
Creative Commons: Attribution 4.0
NVivo coding of selected word frequencies and the (a) referent object, (b) agent, and (c) power-bias of the verb "protect" in UN Security Council Resolutions, years 1997-98
UNSC 99 2000.nvp
application/octet-stream (40MB)
Creative Commons: Attribution 4.0
NVivo coding of selected word frequencies and the (a) referent object, (b) agent, and (c) power-bias of the verb "protect" in UN Security Council Resolutions, years 1999-2000
UNSC 2001 02.nvp
application/octet-stream (47MB)
Creative Commons: Attribution 4.0
NVivo coding of selected word frequencies and the (a) referent object, (b) agent, and (c) power-bias of the verb "protect" in UN Security Council Resolutions, years 2001-2002
UNSC 2003 04.nvp
application/octet-stream (43MB)
Creative Commons: Attribution 4.0
NVivo coding of selected word frequencies and the (a) referent object, (b) agent, and (c) power-bias of the verb "protect" in UN Security Council Resolutions, years 2003-2004
UNSC 2005 06.nvp
application/octet-stream (52MB)
Creative Commons: Attribution 4.0
NVivo coding of selected word frequencies and the (a) referent object, (b) agent, and (c) power-bias of the verb "protect" in UN Security Council Resolutions, years 2005-2006
UNSC 2007 08.nvp
application/octet-stream (43MB)
Creative Commons: Attribution 4.0
NVivo coding of selected word frequencies and the (a) referent object, (b) agent, and (c) power-bias of the verb "protect" in UN Security Council Resolutions, years 2007-2008
UNSC 2009 10.nvp
application/octet-stream (42MB)
Creative Commons: Attribution 4.0
NVivo coding of selected word frequencies and the (a) referent object, (b) agent, and (c) power-bias of the verb "protect" in UN Security Council Resolutions, years 2009-2010
UNSC 2011 12.nvp
application/octet-stream (46MB)
Creative Commons: Attribution 4.0
NVivo coding of selected word frequencies and the (a) referent object, (b) agent, and (c) power bias of the verb "protect" in UN Security Council Resolutions, years 2011-2012
UNSC 2013 14.nvp
application/octet-stream (55MB)
Creative Commons: Attribution 4.0
NVivo coding of selected word frequencies and the (a) referent object, (b) agent, and (c) power bias of the verb "protect" in UN Security Council Resolutions, years 2013-2014
UNSC 2015 16.nvp
application/octet-stream (94MB)
Creative Commons: Attribution 4.0
NVivo coding of selected word frequencies and the (a) referent object, (b) agent, and (c) power bias of the verb "protect" in UN Security Council Resolutions, years 2015-2016
UNSC 2017 19.nvp
application/octet-stream (112MB)
Creative Commons: Attribution 4.0
NVivo coding of selected word frequencies and the (a) referent object, (b) agent, and (c) power bias of the verb "protect" in UN Security Council Resolutions, years 2017-2019
UNSC data 20201223.dta
application/octet-stream (756kB)
Creative Commons: Attribution 4.0
Results of the coded analysis of the texts, stored in Stata format
Creators
Timo Kivimäki
University of Bath
Contributors
University of Bath
Rights Holder
Documentation
Data collection method:
The data was collected from United Nations Security Council Resolution texts by using NVIVO program. The results of the NVIVO codings were exported to a Stata file which allows for the statistical treatment of the data.
Technical details and requirements:
NVIVO was used for the coding of text, Stata program was used to store the quantitative data on the coding, and for the creation of additional variables from the coded frequencies.
Additional information:
The raw data that reveals the coding is available in NVIVO files, while the results of the coded analysis of the texts is stored in Stata files.
Documentation Files
Codebook 2021.pdf
application/pdf (116kB)
Creative Commons: Attribution 4.0
Codebook that describes the data, its sources and lists and briefly explains all the variables
Funders
University of Bath
https://doi.org/10.13039/501100000835
Publication details
Publication date: 15 April 2021
by: University of Bath
Version: 1
DOI: https://doi.org/10.15125/BATH-00783
URL for this record: https://researchdata.bath.ac.uk/id/eprint/783
Related papers and books
Kivimäki, T., 2021. Protecting the Global Civilian from Violence. Routledge. Available from: https://doi.org/10.4324/9780429285639.
Kivimäki, T., 2021. Transition from US-Led Foreign Military Presence to UN Peacekeeping in Afghanistan: Opportunities and Dangers. Mehr Brief, 6. Available from: https://www.aiss.af/assets/aiss_publication/6th_volume_of_Mehr_Brief-English.pdf.
Kivimäki, T., 2021. Can military power save strangers. In: Centre for Geopolitics, University of Cambridge, Centre for Grand Strategy, King’s College London, and the Global Responsibility to Protect journal. Available from: https://researchportal.bath.ac.uk/en/publications/can-military-power-save-strangers.
Contact information
Please contact the Research Data Service in the first instance for all matters concerning this item.
Contact person: Timo Kivimäki
Faculty of Humanities & Social Sciences
Politics, Languages and International Studies
