A Blueprint for Interagency and Cross-Jurisdictional Data Sharing

• NCJ Number: 250571
• Author(s): Nancy La Vigne; Ellen Paddock; Yasemin Irvin-Erickson; KiDeuk Kim; Bryce Peterson; Samuel Bieler
• Date Published: July 2017
• Length: 77 pages
• Grant Number(s): 2012-R2-CX-0001
• Agencies: NIJ-Sponsored
• Publication Type: Research (Applied/Empirical); Report (Technical Assistance); Report (Study/Research); Report (Grant Sponsored); Program/Project Description; Literature Review
• Award: Analyzing Crime Patterns and Trends in the Washington, DC Metropolitan Area: Documenting the Value of Cross-Agency and Cross-Jurisdictional Data Integration

Annotation

This "blueprint" explores the literature on cross-jurisdictional, interagency data-sharing and analysis, illustrating the various models from across the Nation that have been used and documented.

Abstract

Although the blueprint draws from a wide array of literature within and external to criminology, most of the examples identified are derived from the experiences of Urban Institute (Urban) researchers who, through a grant from the U.S. Justice Department's National Institute of Justice (NIJ), collected, integrated, mapped, and analyzed interagency and cross-jurisdictional data from the Washington, DC, metropolitan area. This project is discussed throughout this blueprint as the "Metropolitan Crime Mapping." Using this project's data, the research team examined issues that could only be assessed with integrated, cross-site data such as the effect of economic development on crime and the impact of including cross-jurisdictional data on the accuracy of predictive crime mapping. Drawing from both theory and practice, the first chapter provides a brief history of cross-jurisdictional, interagency data-mapping and illustrates the challenges and advantages of these projects. This chapter also describes the various forms that such cross-site data integration can take. Chapter 2 describes the processes in detail, showing the steps necessary in executing cross-jurisdictional, interagency mapping and analysis. Chapter 3 describes analytic approaches to integrated data exploration. It guides readers in identifying appropriate methods for analyzing data and confirming results. The final chapter describes what the future holds for integrated criminal justice analyses and the promising advances in information technology that can facilitate these efforts. 5 figures, 1 table, 177 references, and appended supplementary information