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This study evaluated the impact of atypical work hours on physiological indicators of health and chronic disease among law enforcement officers enrolled in the Buffalo Cardio-Metabolic Occupational Police Stress (BCOPS) study. Atypical work hours were defined as: work outside of a standard daytime work shift, the number of shift changes that occur over an extended period, the effect of cumulative overtime hours, and/or secondary employment. The data in this release include measures of global DNA methylation, which is an indicator of genomic instability and risk factor for several types of cancer; food logs documenting wake, sleep, and meal times during workdays and off-duty days; and survey data about psychosocial adaptive and maladaptive behaviors associated with atypical work hours.

Momentum toward removing school-based law enforcement (SBLE) has increased since the summer of 2020. This change has occurred due to issues of equity with the hope that removing SBLE will reduce existing racial and ethnic disparities in the criminal justice system. SBLE refers to sworn law enforcement stationed in schools on either a part- or full-time basis. Some SBLE are known as school resource officers, who often receive special training in juvenile law and interacting with students in schools, although this varies from state to state. Other SBLE do not receive any special training in working with young people.

Although the move toward removing SBLE may have intuitive appeal to some school districts, no empirical evidence exists regarding what happens to students' frequency of contact with the criminal justice system after schools remove SBLE. Similarly, current research has not examined the impacts on the attendant racial and ethnic disparities.

All the data used in this study are secondary data from the National Center for Education Statistics (NCES), including both the publicly available Civil Rights Data Collection (CRDC) and the restricted-use School Survey on Crime and Safety (SSOCS). All data cleaning, manipulation, and analysis will be done using syntax files in Stata. This study is a collection of these three Stata .do syntax files.

This study compared changes in three measures of criminal justice contact (i.e., arrests, referrals to law enforcement, and crimes reported to police) in schools that removed SBLE relative to the changes in schools that did not remove SBLE. The study examined within-school racial and ethnic differences in rates of arrest and referrals to law enforcement, and between-school differences in all three measures of criminal justice system contact by school racial composition.

Despite public attention to the problem of human trafficking, it has proven difficult to measure the problem. Improving the quality of information about human trafficking is critical to developing sound anti-trafficking policy. In support of this effort, in 2013 the Federal Bureau of Investigation incorporated human trafficking offenses in the Uniform Crime Reporting (UCR) program. Despite this achievement, there are many reasons to expect the UCR program to underreport human trafficking. Law enforcement agencies struggle to identify human trafficking and distinguishing it from other crimes. Additionally, human trafficking investigations may not be accurately classified in official data sources. Finally, human trafficking presents unique challenges to summary and incident-based crime reporting methods. For these reasons, it is important to understand how agencies identify and report human trafficking cases within the UCR program and what part of the population of human trafficking victims in a community are represented by UCR data. This study provides critical information to improve law enforcement identification and reporting of human trafficking.

Coding criminal incidents investigated as human trafficking offenses in three US cities, supplemented by interviews with law and social service stakeholders in these locations, this study answers the following research questions:

• How are human trafficking cases identified and reported by the police?
• What sources of information about human trafficking exist outside of law enforcement data?
• What is the estimated disparity between actual instances of human trafficking and the number of human trafficking offenses reported to the UCR?

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

The study contains data from a survey of 480 large (200+ sworn officers) state and local law enforcement agencies, and 63 additional smaller county and municipal agencies that experienced violent extremism. These data were collected as part of a project to perform a comprehensive assessment of challenges and opportunities when developing partnerships between police and communities to counter violent extremism. Qualitative data collected as a part of this project are not included in this release.

This collection includes one tab-delimited data file: "file6-NIJ-2012-3163-Survey-Responses.csv" with 194 variables and 382 cases.

The use of common operational picture (COP) technology can give law enforcement and its public safety response partners the capacity to develop a shared situational awareness to support effective and timely decision-making. These technologies collate and display information relevant for situational awareness (e.g., the location and what is known about a crime incident, the location and operational status of an agency's patrol units, the duty status of officers).

CNA conducted a mixed-methods study including a technical review of COP technologies and their capacities and a set of case studies intended to produce narratives of the COP technology adoption process as well as lessons learned and best practices regarding implementation and use of COP technologies.

This study involved four phases over two years: (1) preparation and technology review, (2) qualitative case studies, (3) analysis, and (4) development and dissemination of results. This study produced a market review report describing the results from the technical review, including common technical characteristics and logistical requirements associated with COP technologies and a case study report of law enforcement agencies' adoption and use of COP technologies. This study provides guidance and lessons learned to agencies interested in implementing or revising their use of COP technology. Agencies will be able to identify how they can improve their information sharing and situational awareness capabilities using COP technology, and will be able to refer to the processes used by other, model agencies when undertaking the implementation of COP technology.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

The study involved a three-year evaluation of two efforts to target crime stemming from the Southern Border of the United States - one which funded greater participation by local officers on four FBI-led multi-jurisdictional task forces (MJTFs) and another that created a new multi-jurisdictional team. As part of this evaluation, researchers documented the level of inter-agency collaboration and communication when the project began, gathered information regarding the benefits and challenges of MJTF participation, measured the level of communication and collaboration, and tracked a variety of outcomes specific to the funded MJTFs, as well as three comparison MJTFs. Multiple methodologies were used to achieve these goals including surveys of task forces, law enforcement stakeholders, and community residents; law enforcement focus groups; program observations; and analysis of archival data related to staffing costs; task force activities; task force target criminal history; and prosecution outcomes.

The study is comprised of several data files in SPSS format:

• Imperial County Law Enforcement Stakeholder Survey Data (35 cases and 199 variables)
• Imperial County Resident Survey (402 cases and 70 variables)
• Imperial Task Force Survey (6 cases and 84 variables)
• Prosecution Outcome Data (1,973 cases and 115 variables)
• San Diego County Resident Survey (402 cases and 69 variables)
• San Diego Law Enforcement Stakeholder Survey (460 cases and 353 variables)
• San Diego Task Force Survey (18 cases and 101 variables)
• Staff and Cost Measures Data (7 cases and 61 variables)
• Criminal Activity Data (110 cases and 50 variables)

Additionally, Calls for Service Data, Countywide Arrest Data, and Data used for Social Network Analysis are available in Excel format.

The Detection of Crime, Resource Deployment, and Predictors of Success: A Multi-Level Analysis of Closed-Circuit Television (CCTV) in Newark, NJ collection represents the findings of a multi-level analysis of the Newark, New Jersey Police Department's video surveillance system. This collection contains multiple quantitative data files (Datasets 1-14) as well as spatial data files (Dataset 15 and Dataset 16). The overall project was separated into three components:

• Component 1 (Dataset 1, Individual CCTV Detections and Calls-For-Service Data and Dataset 2, Weekly CCTV Detections in Newark Data) evaluates CCTV's ability to increase the "certainty of punishment" in target areas;
• Component 2 (Dataset 3, Overall Crime Incidents Data; Dataset 4, Auto Theft Incidents Data; Dataset 5, Property Crime Incidents Data; Dataset 6, Robbery Incidents Data; Dataset 7, Theft From Auto Incidents Data; Dataset 8, Violent Crime Incidents Data; Dataset 9, Attributes of CCTV Catchment Zones Data; Dataset 10, Attributes of CCTV Camera Viewsheds Data; and Dataset 15, Impact of Micro-Level Features Spatial Data) analyzes the context under which CCTV cameras best deter crime. Micro-level factors were grouped into five categories: environmental features, line-of-sight, camera design and enforcement activity (including both crime and arrests); and
• Component 3 (Dataset 11, Calls-for-service Occurring Within CCTV Scheme Catchment Zones During the Experimental Period Data; Dataset 12, Calls-for-service Occurring Within CCTV Schemes During the Experimental Period Data; Dataset 13, Targeted Surveillances Conducted by the Experimental Operators Data; Dataset 14, Weekly Surveillance Activity Data; and Dataset 16, Randomized Controlled Trial Spatial Data) was a randomized, controlled trial measuring the effects of coupling proactive CCTV monitoring with directed patrol units.

Over 40 separate four-hour tours of duty, an additional camera operator was funded to monitor specific CCTV cameras in Newark. Two patrol units were dedicated solely to the operators and were tasked with exclusively responding to incidents of concern detected on the experimental cameras. Variables included throughout the datasets include police report and incident dates, crime type, disposition code, number of each type of incident that occurred in a viewshed precinct, number of CCTV detections that resulted in any police enforcement, and number of schools, retail stores, bars and public transit within the catchment zone.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

The four primary goals of The Detroit Sexual Assault Kit Action Research Project (DSAK-ARP) were:

1. To assess the scope of the problem by conducting a complete census of all sexual assault kits (SAKs) in police property.
2. To identify the underlying factors that contributed to why Detroit had so many un-submitted SAKs.
3. To develop a plan for testing SAKs and to evaluate the efficacy of that plan.
4. To create a victim notification protocol and evaluate the efficacy of that protocol.

To conduct the census and investigate factors that contributed to untested SAKs, The study investigated police and other public records, interviewed public officials and employees and manually cataloged untested SAKs to conduct the census and gather information as to the decision making processes as to why the SAKs remained untested.

A random sample of 1,595 SAKs were tested as part of developing a SAK testing plan. Kits were divided into four testing groups to examine the utility of testing SAKs for stranger perpetrated sexual assaults, non-stranger perpetrated sexual assaults and sexual assaults believed to be beyond the statute of limitations. The final testing group split SAKs randomly into two addition sample sets as part of an experimental design to examine whether the testing method of selective degradation was a quicker and more cost efficient approach that offered satisfactory levels of accuracy when compared to standard DNA testing methods.

A two stage protocol was created to inform sexual assault victims that their SAKs had been tested, discuss options for participating with the investigation and prosecution process and connect the victim with community services.

The 2018 Atlanta Youth Count (AYC18), a follow-up to the 2015 Atlanta Youth Count and Needs Assessment (AYCNA), was expanded in 2018 to specifically address sex and labor trafficking among youth experiencing homelessness in metro Atlanta. This project was designed to provide impact on court, law enforcement, and victim service practices at the jurisdictional level in Georgia, and beyond.

Homeless youth in metro Atlanta and surrounding counties were contacted through outreach efforts at youth shelters, motels, and street locations where homeless youth tend to congregate. Data collection focused on basic demographic information, history of homelessness, health, sexual experiences, and social supports.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

The main aim of this research is to study the criminal mobility of ethnic-based organized crime groups. The project examines whether organized crime groups are able to move abroad easily and to reproduce their territorial control in a foreign country, or whether these groups, and/or individual members, start a life of crime only after their arrival in the new territories, potentially as a result of social exclusion, economic strain, culture conflict and labeling. More specifically, the aim is to examine the criminal mobility of ethnic Albanian organized crime groups involved in a range of criminal markets and operating in and around New York City, area and to study the relevance of the importation/alien conspiracy model versus the deprivation model of organized crime in relation to Albanian organized crime. There are several analytical dimensions in this study: (1) reasons for going abroad; (2) the nature of the presence abroad; (3) level of support from ethnic constituencies in the new territories; (4) importance of cultural codes; (5) organizational structure; (6) selection of criminal activities; (7) economic incentives and political infiltration. This study utilizes a mixed-methods approach with a sequential exploratory design, in which qualitative data and documents are collected and analyzed first, followed by quantitative data. Demographic variables in this collection include age, gender, birth place, immigration status, nationality, ethnicity, education, religion, and employment status.

Two main data sources were employed: (1) court documents, including indictments and court transcripts related to select organized crime cases (84 court documents on 29 groups, 254 offenders); (2) in-depth, face-to-face interviews with 9 ethnic Albanian offenders currently serving prison sentences in U.S. Federal Prisons for organized crime related activities, and with 79 adult ethnic Albanian immigrants in New York, including common people, undocumented migrants, offenders, and people with good knowledge of Albanian organized crime modus operandi. Sampling for these data were conducted in five phases, the first of which involved researchers examining court documents and identifying members of 29 major ethnic Albanian organized crime groups operating in the New York area between 1975 and 2013 who were or had served sentences in the U.S. Federal Prisons for organized crime related activities. In phase two researchers conducted eight in-depth interviews with law enforcement experts working in New York or New Jersey. Phase three involved interviews with members of the Albanian diaspora and filed observations from an ethnographic study. Researchers utilized snowball and respondent driven (RDS) recruitment methods to create the sample for the diaspora dataset. The self-reported criteria for recruitment to participate in the diaspora interviews were: (1) age 18 or over; (2) of ethnic Albanian origin (foreign-born or 1st/2nd generation); and (3) living in NYC area for at least 1 year. They also visited neighborhoods identified as high concentrations of ethnic Albanian individuals and conducted an ethnographic study to locate the target population. In phase four, data for the cultural advisors able to help with the project data was collected. In the fifth and final phase, researchers gathered data for the second wave of the diaspora data, and conducted interviews with offenders with ethnic Albanian immigrants with knowledge of the organized crime situation in New York City area. Researchers also approached about twenty organized crime figures currently serving a prison sentence, and were able to conduct 9 in-depth interviews.

In 2015, the National Institute of Justice funded the Urban Institute's Evaluation of Gunshot Detection Technology to Aid in the Reduction of Firearms Violence. This project was designed to investigate the degree to which gunshot detection technology (GDT) aids in the response, investigation, and prevention of firearms violence and related crimes. The goal of this study was to conduct a rigorous process and impact evaluation of GDT to inform policing researchers and practitioners about the impact GDT may have. To achieve this goal, the research team implemented a mixed-methods research design with police departments in Denver, Colorado; Milwaukee, Wisconsin; and Richmond, California.

Quantitative data collection included administrative data on calls for service (CFS), crime, and GDT alerts, as well as comprehensive case file reviews of 174 crimes involving a firearm. Quantitative analyses examined the impact of GDT by (1) comparing counts of gunshot notifications for GDT alerts to shooting-related CFS, (2) comparing response times of GDT alerts to shooting-related CFS, (3) examining the impact GDT has had on CFS and crimes, and (4) conducting a cost-benefit analysis of the GDT. Qualitative data collection included 46 interviews with criminal justice stakeholders to learn implementation processes and challenges associated with its GDT, and 6 focus groups with 49 community members to learn how residents feel about policing efforts to reduce firearm violence and its use of GDT.

Three types of files were uploaded for each site. They include quantitative data on crimes and CFS (DS1-DS3), gunshot notifications (DS4-DS6), and response times (DS7-DS9). The qualitative data are not currently available as part of this collection.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

This study, through a national survey and field studies in both patrols and investigations, examined the crime control and cost-effectiveness of the use of license plate readers (LPRs) within police agencies in the United States.

The collection contains 1 SPSS data file (Data-file-for-2013-IJ-CX-0017.sav (n=329; 94 variables)).

A demographic variable includes an agency's number of authorized full time personnel.

These data are part of NACJDs Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

The two central objectives of this project were (1) to evaluate the effect on crime of a targeted patrol strategy mounted by the St. Louis Metropolitan Police Department (SLMPD) and (2) to evaluate the researcher-practitioner partnership that underlay the policing intervention.

The study addressed the following research questions:

1. Do intensified police patrols and enforcement in crime hot spots result in larger reductions in firearm assaults and robberies than in similar areas subject to routine police activity?
2. Do specific enforcement tactics decrease certain type of crime?
3. Which enforcement tactics are most effective?
4. Does video surveillance reduce crime?
5. How does the criminal justice system respond to firearm crime?
6. Do notification meetings reduce recidivism?
7. Does community unrest increase crime?
8. Did crime rates rise following the Ferguson Killing?

To answer these questions, researchers used a mixed methods data collection plan, including interviews with local law enforcement, surveillance camera footage, and conducting ride-alongs with officers.

This study investigated the use and value of digital evidence (DE) to create an evidence base for more efficient and effective DE management and processing. Researchers aimed to assess existing laboratory protocols and better understand the scientific rationale underpinning existing laboratory processes with the ultimate goal of assisting law enforcement agencies and crime laboratories in eliminating backlogs, optimizing available resources, and decreasing justice delays. The data deposited with ICPSR include the Crime Laboratories Survey Data, which describe the processes used by crime laboratories to manage and analyze DE, and the Law Enforcement Agencies Survey Data, which includes information on methods and processes for DE seizure, management, and analysis, and data about coordination between law enforcement agencies and associated crime laboratories.