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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 project used data from multiple sources-the area-identified National Crime Victimization Survey (NCVS, 2008-2012), and data from other public data sources such as the American Community Survey (ACS) and the decennial Census data-to study how the changing geography of American immigration has influenced violent victimization among different racial and ethnic groups, particularly Blacks, Hispanics, and Whites.

This collection includes three Stata data files:

1. "Data_File1_county_foreignborn_1980_2010.dta" with 6 variables and 3,103 cases
2. "Data_File2_county_variables_2007_2012.dta" with 19 variables and 18,618 cases
3. "Data_File3_tract_variables_2007_2012.dta" with 16 variables and 440,083 cases.

The area-identified NCVS data are only accessible through the Census Research Data Centers and could not be archived.

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 collection features secondary analyses of restricted-use data from the National Longitudinal Study of Adolescent to Adult Health (Add Health), a nationally representative longitudinal study of a sample of U.S. adolescents who were in grades 7-12 in the 1994-95 school year, who were interviewed at three key developmental junctures from adolescence to young adulthood. Self-reported data were used for both maltreatment (measured at the latter two time points) and delinquent or criminal behaviors (measured at all three time points). Linear mixed-effects analyses were used to model growth curves of the frequency of violent and non-violent offending, from ages 13 to 30. Next, maltreatment frequency was tested as a predictor, and then potential protective factors (at peer, family, school, and neighborhood levels) were tested as moderators. Sex, race/ethnicity, and sexual orientation were also tested as moderators of delinquent or criminal offense frequency, and as moderators of protective effects.

The study collection includes 1 Stata (.do) syntax file (AddHealthOJJDPAnalysis_StataSyntax.do) that was used by the researcher in secondary analyses of restricted-use data. The restricted archival data from the Add Health survey series are not included as part of this release.

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.

The current study focused on 479 men and women from South Carolina who were enrolled as participants in the Serious and Violent Offender Reentry Initiative (SVORI) multi-site program evaluation shortly before prison release in 2004 or 2005. The original SVORI data suggested that the South Carolina respondents were similar to the multi-site sample with "committed to not going back to prison" as the most common reason for desisting and using drugs or alcohol as the most common reason for persisting. The goals of the current study were to (1) update information on the current status of these individuals across multiple domains (e.g., housing, employment, substance use); (2) gather additional administrative recidivism data to examine long-term offending; and (3) acquire information about the factors individuals associated with their decisions to desist from criminal activity, as well as circumstances associated with renewed criminal activity or desistence. Interviews were conducted with those that the study team were able to locate and additional administrative arrest and incarceration data were acquired for the full sample, providing recidivism follow-up over at least a 10-year period.

Official administrative data were obtained from the South Carolina Law Enforcement Division (rearrests) and South Carolina Department of Corrections (reincarcerations). Arrest data span the entire arrest history (from first arrest through December 2015); reincarceration data span the period between the SVORI study prison release in 2005 and 2006 through June 2014. These data were obtained for the full sample of 479 South Carolina SVORI participants.

Three components of interview data were collected.

• Desistance study interview data: 1 wave of in-person interviews was conducted with 208 study subjects who consented to participate in an interview. The research team used computer-assisted personal interviewing (CAPI) to administer the survey, and interviews were conducted from September 2016 through March 2017.
• Life event data: The Life Events Calendar (LEC) is a tool used in qualitative and quantitative research to gather retrospective information about a person's life, experiences, and history. The approach is based on autobiographical memory and how entering events on a calendar or page help facilitate memory recall. LECs typically encompass periods of 5 years or less; this study's LEC covered a 10- to 12-year span to allow analysis since last contact with the study cohort. Data were collected from the 208 subjects who consented to be interviewed.
• SVORI interview data: This inventory includes files with select baseline and outcome data (e.g., self-reported employment, drug use, criminal behavior) for desistance study subjects who responded to follow-up interviews at Wave 2 (3-month), Wave 3 (9-month), and Wave 4 (15-month).

This collection of administrative and interview data is organized into 14 data parts. Demographic data includes information on age, gender, race, and education.

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.

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 is a secondary analysis of data from ICPSR Study Number 27101, Serious and Violent Offender Reentry Initiative (SVORI) Multi-site Impact Evaluation, 2004-2011 [United States]- specifically the adult male dataset -to examine the associations among child support obligations, employment and reentry outcomes. The study addressed the following research questions:

1. Are the demographic, criminal justice and employment-related characteristics of incarcerated men with child support orders significantly different in any important way from incarcerated males without child support orders?
2. Did SVORI clients receive more support and services related to child support orders and modification of debt after release from prison compared to non-SVORI participants?
3. Does having legal child support obligations decrease the likelihood of employment in later waves, net of key demographic and criminal justice history factors?
4. How does employment influence the relationship between child support debt and recidivism? and
5. Is family instrumental support a significant predictor of reduced recidivism or increased employment in models assessing the relationship between child support obligations, employment and recidivism?

The study includes one document (Syntax_ChildSupport_Reentry_forICPSR_2012-IJ-CX-0012.docx) which contains SPSS and Stata syntax used to create research variables.

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 data were obtained from one state prison system that was characterized by a diverse and rising prison population. This prison system housed more than 30,000 inmates across 15 institutions (14 men's facilities; 1 women's facility). The data contain information on inmates' placements into different housing units across all 15 state prison complexes, including designated maximum security, restrictive housing units. Inmates placed in restrictive housing were in lockdown the majority of the day, had limited work opportunities, and were closely monitored. These inmates were also escorted in full restraints within the institution. They experienced little recreational time, visitation and phone privileges, and few interactions with other inmates. The data contain information on inmates' housing placements, institutional misconduct, risk factors, demographic characteristics, criminal history, and offense information. These data provide information on every housing placement for each inmate, including the time spent in each placement, and the reasons documented by correctional staff for placing inmates in each housing unit. Demographic information includes inmate sex, race/ethnicity, and age.

The collection contains 1 Stata data file "Inmate-Housing-Placements-Data.dta" with 16 variables and 124,942 cases.

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 objective of this study was to determine how homicide investigators use evidence during the course of their investigations. Data on 294 homicide cases (315 victims) that occurred in Cleveland between 2008 and 2011 was collected from investigative reports, forensic analysis reports, prosecutors and homicide investigators, provided by the Cleveland Ohio Police Department, Cuyahoga County Medical Examiner's Office, and Cuyahoga County Clerk of Courts.

The study collection includes 1 Stata data file (NIJ_Cleveland_Homicides.dta, n=294, 109 variables).

The National Hate Crime Investigation Study (NHCIS) collected detailed data on hate crime investigations from law enforcement agencies (LEAs) across the United States. A nationally representative sample of 2,488 local, county, and state LEAs, stratified by agency type and size, were surveyed about agency-level characteristics and hate crime incidents investigated by their agency between January 1, 2018 and December 31, 2018.

Agency-level surveys collected information about the size of the population the agency serves, the number of full-time sworn officers, total number of hate crime cases reported, National Incident-Based Reporting System (NIBRS) participation, hate crime investigation policies and procedures, and whether the agency has conducted outreach to community or local advocacy groups on hate crimes. Case-level surveys and case report data abstraction then captured extensive data about 1,230 hate crime incidents, including crime scene details, investigative strategies, arrests, charges, and court outcomes.

Suspect and victim demographic information in the Case Data file includes sex, gender identity, age, race/ethnicity, religious affiliation, sexual orientation, disability status, and immigration status.

In 2018 Justice and Security Strategies, Inc. (JSS) recieved funding from the National Institute of Justice (NIJ) to code and analyze detailed homicide data collected by the Los Angeles Police Department (LAPD). The data in this study were compiled from the LAPD's digitized homicide casefiles, or Murder Books, stored at the Homicide Library. These digitized casefiles included relevant information from the chronological log of detective activity, crime scene log, first responder statements and officer reports, incident history from the CAD and 911 tapes, Los Angeles Fire Department medical service report, death/autopsy report, suspect arrest report, evidence reports, follow-up reports, investigator final report, search warrants, crime scene sketches, crime scene notes, scientific evidence analysis, witness statements and notes, suspect interview notes, and case status information. A total of 4,111 Murder Books detailing homicides from four of 21 LAPD area stations in South Los Angeles between 1990 to 2010 were digitally scanned and preserved for posterity. Through a grant from the National Institute of Justice, JSS researchers 'tagged' the data to facilitate sharing these Murder Books among detectives in the South Bureau. These 'tags' also serve to encode features and outcomes from the Murder Book case files.

The data archived from this project consist of the digital database of the tagged Murder Books. There are two files included in this project. The victim file contains information about both the incident (obtainable from unique incident numbers) and information about the victim (victim number associated with each incident). The suspect file contains information about the suspects associated with each incident and can be linked to the original incident through the incident number.

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.

To assess "double transition" (the transition from confinement to community in addition to the transition from adolescence to adulthood), the study used nationally representative data from the National Longitudinal Study of Adolescent Health (Add Health) to compare psychosocial maturity for three groups: approximately 162 adolescents placed in correctional confinement, 398 young adults who reported an arrest before age 18 but no juvenile correctional confinement, and 11,614 youths who reported no arrests before age 18.

Three dimensions of psychosocial maturity (responsibility, temperance, and perspective) were assessed at Waves 1 (baseline) and Wave 3 (post-confinement) in models assessing the effects of confinement on the attainment (or non-attainment) of markers of successful transition to adulthood at Wave 4.

Results were contextualized with data from the Survey of Youth in Residential Facilities and discussed with respect to the role of confinement in interrupting the development of psychosocial maturity in the transition to adulthood and for young adult attainment more generally.

There are no data files available with this study. Only syntax files used by the researchers are provided.

The goal of this National Institute of Justice-funded research study was to determine the impact of High-Risk Victim Offender Dialogue (HR-VOD) on victims of serious or violent crimes and criminal offenders currently or previously under the supervision of a Colorado correctional facility or community supervision agency. Specifically, the research team conducted a longitudinal, mixed-methods cohort-control study, comparing the wellbeing of victims and offenders who participated in a facilitated restorative justice dialogue to the wellbeing of those who did not participate. Wellbeing of crime victims were measured by validated psychometric scales capturing trauma indicators, PTSD, depression, substance abuse behaviors, and physical and emotional health.

In addition, qualitative interviews with participants built a multi-faceted contextual understanding of the impact of HR-VOD on victim trauma and healing and offender development. Interviews took place at enrollment in the VOD program, within 72 hours of the VOD intervention, and six months following the VOD intervention. This study was designed to inform practice and policy decisions about the use of HR-VOD in criminal justice settings in Colorado and nationally to improve criminal justice outcomes and ameliorate the effects of crime.

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 was a secondary analysis of data from the National Crime Victimization Survey (NCVS) and National Incidents Based Reporting System (NIBRS) for the period 1998-2007. The analysis calculates two separate measures of the incidents of violence that occurred during burglaries. The study addressed the following research questions:

Is burglary a violent crime?

• Are different levels of violence associated with residential versus nonresidential burglaries?
• How frequently is a household member present during a residential burglary?
• How frequently does violence occur in the commission of a burglary?
• What forms does burglary-related violence take?
• Are there differences in rates of violence between attempted and completed burglaries?

What constitutes the crime of burglary in current statutory law?

• How do the federal government and the various states define burglary (grades and elements)?
• Does statutory law comport with empirical observations of what the typical characteristics of acts of burglary are?

The SPSS code distributed here alters an existing dataset drawn from pre-existing studies. In order to use this code users must first create the original data file drawn from National Crime Victimization Survey (NCVS) and National Incidents Based Reporting System (NIBRS) data from the period of 1998-2007. All data used for this study are publicly available through ICPSR. See the variable description section for a comprehensive list of, and direct links to, all datasets used to create this original dataset.

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 Safe Start Promising Approaches for Children Exposed to Violence Initiative funded 10 sites to implement and evaluate programs to improve outcomes for children exposed to violence. RAND conducted the national evaluation of these programs, in collaboration with the sites and a national evaluation team, to focus on child-level outcomes. The dataset includes data gathered at the individual family-level at baseline, 6-, 12-months. All families were engaged in experimental or quasi-experimental studies comparing the Safe Start intervention to enhanced services-as-usual, alternative services, a wait-list control group, or a comparable comparison group of families that did not receive Safe Start services. Data sources for the outcome evaluation were primary caregiver interviews, child interviews (for ages 8 and over), and family/child-level service utilization data provided by the Safe Start program staff.