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                            Library & Multimedia
 Valuating Law Enforcement Data in the 21st Century: An Adaptive Mixed-Methods Approach
NCJ Number
              254668

Author(s)
          Travis Taniguchi;
                        Joshua Hendrix;
                        Brian Aagaard
Date Published

April 2020
Length
              56 pages
Annotation
              This is the Final Report of a project with the goal of developing a guiding valuation methodology that will assist law enforcement agencies in determining the comparative value of various data sources, whether to acquire new information sources, and the effective use of collected information.
Abstract
              These initial study objectives were modified throughout the project due to unexpected findings during project phases I and II. After completing these two phases, the scope of Phase III was to realign the project with the findings from the first two phases. The project was refined to focus on body-worn cameras (BWCs) and the costs and benefits associated with them. The project conducted a comprehensive literature review on this topic, and site visits were conducted with four law enforcement agencies (LEAs). The objective was to develop a cost-benefit analysis (CBA) tool for LEAs to use in determining whether to adopt BWCs. Phase IV turned the BWC CBA tool into a web-based calculator that can be used by agencies to assess the likely impact of BWCs on their agency. In discussing the implications of this project for criminal justice policy and practice, the barriers to CBA for law enforcement technology are identified and discussed, along with recommendations for how to overcome these barriers. 3 tables, 10 references, and appended methodological details
      
  
          Additional Details
Grant Number(s)
        2015-IJ-CX-K005


  
  
        
  Agencies
        NIJ-Sponsored


  
  
        
  Publication Type
        Research (Applied/Empirical)
                                Report (Study/Research)


  
  
        
  Award
        Valuating Law Enforcement Data in the 21st Century:  An Adaptive Mixed Methods Approach
    
  
  
Date Published: April 1, 2020
    
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