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

To assess the current practices in cold-case investigations, this study utilized a national online survey of law enforcement agencies (Cold Case Survey Data, n = 1,051) to document the range of ways in which cold-case work is conducted and assess how this organization affects cold-case clearance rates. In November 2008, the chiefs of police in the sample were sent a letter explaining the purpose of the survey and inviting them to participate. Potential respondents were directed to the web-based survey instrument through a provided web address. The results from the national survey were used to select sites for an analysis of case files. Researchers chose three jurisdictions that conducted a large number of cold-case homicide investigations: the District of Columbia, Baltimore, Maryland, and Dallas, Texas (Cold Case Homicide Data, n = 429). To these three sites, researchers added Denver, Colorado (Cold Case Sexual Assault Data, n = 105) because it had received a Department of Justice grant to conduct testing of DNA material in sexual assault cold cases. At all four sites, cold cases were examined for seven categories of data including victim's characteristics, crime context, motivation, human capital, physical evidence, basis for cold-case investigations and cold-case actions.

In the aftermath of the attacks on September 11, 2001, and subsequent terrorist attacks elsewhere around the world, a key counterterrorism concern was the possible radicalization of Muslims living in the United States. The purpose of the study was to examine and identify characteristics and practices of four American Muslim communities that have experienced varying levels of radicalization. The communities were selected because they were home to Muslim-Americans that had experienced isolated instances of radicalization. They were located in four distinct regions of the United States, and they each had distinctive histories and patterns of ethnic diversity.

This objective was mainly pursued through interviews of over 120 Muslims located within four different Muslim-American communities across the country (Buffalo, New York; Houston, Texas; Seattle, Washington; and Raleigh-Durham, North Carolina), a comprehensive review of studies an literature on Muslim-American communities, a review of websites and publications of Muslim-American organizations and a compilation of data on prosecutions of Muslim-Americans on violent terrorism-related offenses.

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 integrated neighborhood-level data on robbery and burglary gathered from local police agencies across the United States, foreclosure data from RealtyTrac (a real estate information company), and a wide variety of social, economic, and demographic control variables from multiple sources. Using census tracts to approximate neighborhoods, the study regressed 2009 neighborhood robbery and burglary rates on foreclosure rates measured for 2007-2008 (a period during which foreclosure spiked dramatically in the nation), while accounting for 2007 robbery and burglary rates and other control variables that captured differences in social, economic, and demographic context across American neighborhoods and cities for this period. The analysis was based on more than 7,200 census tracts in over 60 large cities spread across 29 states. Core research questions were addressed with a series of multivariate multilevel and single-level regression models that accounted for the skewed nature of neighborhood crime patterns and the well-documented spatial dependence of crime.

The study contains one data file with 8,198 cases and 99 variables.

This project utilizes secondary data analysis of existing data. Recognizing that the school discipline and juvenile justice experience of immigrants may differ from non-immigrant children, the project explores the role immigration status and border location has on these outcomes.

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 utilized data originally collected for the project Breaking Schools' Rules (Fabelo et al., 2011), a joint project of the Public Policy Research Institute at Texas A and M University and the Council of State Governments Justice Center on which the Principal Investigator, Miner Marchbanks was a lead data analyst and co-author. Research was conducted at the Education Research Centers of the University of Texas, Austin, and Texas A and M University utilizing individual-level data from the Public Education Information Management System (PEIMS), a data system of the Texas Education Agency (TEA), and CASEWORKER, a data management system of the Texas Probation Commission (now the Texas Juvenile Justice Department). The link between these records was conducted by TEA and is described in greater detail in Fabelo et al.

Through secondary analyses of these data, researchers attempted to measure the institutional and individual mechanisms that disproportionately pull and push students of color into the "school-to-prison pipeline." The project explores the predictors of school discipline contact and the resulting consequences of encountering this discipline. The project then moves to an examination of the determinants of progressing through the various decision points in a juvenile justice case. Additionally, the project explores the relationship between school strictness and various educational and juvenile justice outcomes. The "school-to-prison pipeline" (Wald and Losen, 2003) describes an "increasingly punitive and isolating" path through the education system for African American and other at-risk students.

The study collection includes 1 Stata (.do) syntax file (master_final.do) that was used by the researcher(s) in secondary analyses.

The Census of Juveniles in Residential Placement (CJRP), conducted every other year, asks juvenile residential custody facilities in the United States to describe all youth assigned a bed in the facility on a specified reference date. In 2011, the reference date was Wednesday, October 26 (the last Wednesday in October).

Each record in the data provides information on a juvenile in a residential facility on the reference date, including information on placement (e.g. placing agency), the judicial process (e.g. court adjudication status), and demographics (e.g. age). Each record that provides information about a juvenile also includes information about institutional characteristics (e.g. facility type, use of locked doors or gates), treatment services, and population of the facility in which the juvenile was held. Therefore, CJRP data can be analyzed at the individual or facility level.

Some state and regional agencies provide CJRP data for more than one facility under their jurisdiction. The census was not sent to adult facilities or to facilities exclusively for drug or mental health treatment or for abused or neglected children.

The Census of Juveniles in Residential Placement (CJRP), conducted every other year, asks juvenile residential custody facilities in the United States to describe all youth assigned a bed in the facility on a specified reference date. In 2013, the reference date was Wednesday, October 23 (the fourth Wednesday in October).

Each record in the data provides information on a juvenile in a residential facility on the reference date, including information on placement (e.g. placing agency), the judicial process (e.g. court adjudication status), and demographics (e.g. age). Each record that provides information about a juvenile also includes information about institutional characteristics (e.g. facility type, use of locked doors or gates), treatment services, and population of the facility in which the juvenile was held. Therefore, CJRP data can be analyzed at the individual or facility level.

The census was not sent to adult facilities or to facilities exclusively for drug or mental health treatment or for abused or neglected children. Some state and regional agencies provide CJRP data for more than one facility under their jurisdiction.

The Census of Juveniles in Residential Placement (CJRP), conducted every other year, asks juvenile residential custody facilities in the United States to describe all youth assigned a bed in the facility on a specified reference date. In 2015, the reference date was Wednesday, October 28 (the fourth Wednesday in October).

Each record in the data provides information on a juvenile in a residential facility on the reference date, including information on placement (e.g. placing agency), the judicial process (e.g. court adjudication status), and demographics (e.g. age). Each record that provides information about a juvenile also includes information about institutional characteristics (e.g. facility type, use of locked doors or gates), treatment services, and population of the facility in which the juvenile was held. Therefore, CJRP data can be analyzed at the individual or facility level.

The census was not sent to adult facilities or to facilities exclusively for drug or mental health treatment or for abused or neglected children. Some state and regional agencies provide CJRP data for more than one facility under their jurisdiction.

The Census of Juveniles in Residential Placement (CJRP), conducted every other year, asks juvenile residential custody facilities in the United States to describe all youth assigned a bed in the facility on a specified reference date. In 2017, the reference date was Wednesday, October 25 (the fourth Wednesday in October).

Each record in the data provides information on a juvenile in a residential facility on the reference date, including information on placement (e.g. placing agency), the judicial process (e.g. court adjudication status), and demographics (e.g. age). Each record that provides information about a juvenile also includes information about institutional characteristics (e.g. facility type, use of locked doors or gates), treatment services, and population of the facility in which the juvenile was held. Therefore, CJRP data can be analyzed at the individual or facility level.

The census was not sent to adult facilities or to facilities exclusively for drug or mental health treatment or for abused or neglected children. Some state and regional agencies provide CJRP data for more than one facility under their jurisdiction.

The Census of Juveniles in Residential Placement (CJRP), conducted every other year, asks juvenile residential custody facilities in the United States to describe all youth assigned to a bed in the facility on a specified reference date. In 2019, the reference date was Wednesday, October 23 (the fourth Wednesday in October).

Each record in the data provides information on a juvenile in a residential facility on the reference date, including information on placement (e.g., placing agency), the judicial process (e.g., court adjudication status), and demographics (e.g., age). Each record that provides information about a juvenile also includes information about institutional characteristics (e.g., facility type, use of locked doors or gates), treatment services, and population of the facility in which the juvenile was held. Therefore, CJRP data can be analyzed at the individual or facility level.

The census was not sent to adult facilities or to facilities exclusively for drug or mental health treatment or for abused or neglected children. Some state and regional agencies provide CJRP data for more than one facility under their jurisdiction.

The Census of Juveniles in Residential Placement (CJRP), conducted every other year, asks juvenile residential custody facilities in the United States to describe all youth assigned a bed in the facility on a specified reference date. In 2021, the reference date was Wednesday, October 27 (the fourth Wednesday in October).

Each record in the data provides information on a juvenile in a residential facility on the reference date, including information on placement (e.g. placing agency), the judicial process (e.g. court adjudication status), and demographics (e.g. age). Each record that provides information about a juvenile also includes information about institutional characteristics (e.g. facility type, use of locked doors or gates), treatment services, and population of the facility in which the juvenile was held. Therefore, CJRP data can be analyzed at the individual or facility level.

The census was not sent to adult facilities or to facilities exclusively for drug or mental health treatment or for abused or neglected children. Some state and regional agencies provide CJRP data for more than one facility under their jurisdiction.

The purpose of the Census of Juveniles on Probation (CJP) was to collect individual-level data about youth on probation, including their numbers and characteristics. The CJP survey asked respondents to report the total number of juveniles on formal probation within their reporting jurisdiction on the reference date of October 24, 2012.

For each youth on probation, responding agencies were asked to provide the following information: sex, date of birth, race, most serious offense, state and county where most serious offense was committed, and the state and county where the juvenile resided on the census reference date.

This data collection contains the national data.

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 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 examined the implementation of a pilot parole-based intervention, known as the Next Generation of Parole Supervision (NG). Drs. Caleb Lloyd and Ralph Serin developed the NG model with funding from the National Institute of Justice (NIJ), and the National Institute of Corrections developed the NG curriculum for parole officers to implement. The Bureau of Justice Assistance funded the implementation of NG in three study sites: Dallas, Texas; Denver, Colorado; and Des Moines, Iowa.

This mixed-methods study focused on understanding how NG was implemented as it was piloted in the three sites, and assessed NG-trained parole officers' fidelity to the NG model. In order to better understand NG's implementation and the business as usual practices it was intended to replace, the study also included a second group of parole officers who were not trained in NG. The groups were not randomly assigned. Data collected for this study included interview data, parole officer questionnaires related to concepts of the NG curriculum, coaching logs providing measures of whether officers received coaching and its frequency, video recordings of parole supervision meetings, and parole caseload data.

Demographic variables included as part of this collection are parole officers' age and sex, and site location. The data collection includes 3 SAS data files:

• Parole officer-level data (archive_raf170831_po): Includes 31 cases and 26 variables.
• Video-level data (archive_raf170831_video): Includes 241 cases and 15 variables.
• Questionnaire-level data (archive_raf180719_tests): Includes 50 cases and 8 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.

This study examined arrestee DNA laws (laws that allowed testing of arrestees DNA pre-adjudication), their implementation in the field and their subsequent effects on agency operations as well as their success in aiding investigations in the 28 states that have these laws. The study investigated five specific questions:

1. What states have passed legislation authorizing the collection of DNA from arrestees?
2. How do the laws and policies regarding collecting DNA from arrestees differ by state?
3. How have the courts ruled on these new laws?
4. How have arrestee DNA laws been implemented in each state?
5. What has been the impact of requiring DNA collection from arrestees on state crime laboratories and other involved agencies?
6. What evidence is available to determine the effects of collecting DNA from arrestees on public safety or other criminal justice outcomes?

To answer these questions, researchers used a mixed methods data collection plan, including reviewing relevant statutes and case law, interviewing state and federal Combined DNA Index System (CODIS) laboratory staff and other forensic experts, and collecting descriptive data from state laboratories.

This study examined the laws, policies, and practices related to juvenile DNA collection, as well as their implications for the juvenile and criminal justice systems. DNA evidence proved valuable in solving crimes, which motivated a concerted effort to expand the categories of offenders who provided DNA samples for analysis and inclusion in the Combined DNA Index System (CODIS), the Federal Bureau of Investigation (FBI)-operated national database.

State requirements for DNA collection, which initially focused on adult offenders convicted of sexual or violent offenses, expanded to include other categories of convicted felons, convicted misdemeanants, arrestees, and juveniles. In 30 states, certain categories of juveniles handled in the juvenile justice system must now provide DNA samples. The study was designed to explore the practice and implications of collecting DNA from juveniles and addressed the following questions:

1. How have state agencies, juvenile justice agencies and state laboratories implemented juvenile DNA collection laws?
2. What were the number and characteristics of juveniles with profiles included in CODIS?
3. How have juvenile profiles in CODIS contributed to public safety or other justice outcomes?
4. What improvements to policies and practices needed to be made?

To examine these questions, researchers at the Urban Institute: (1) systematically reviewed all state DNA statutes; (2) conducted semi-structured interviews with CODIS lab representatives in states that collect DNA from juveniles to understand how the laws were implemented; (3) collected and analyzed descriptive data provided by these labs on the volume and characteristics of juvenile profiles in CODIS; (4) conducted semi-structured interviews with juvenile and criminal justice stakeholders in five case study states; and (5) convened a meeting of federal officials and experts from the forensic and juvenile justice committees to explore the broader impacts of juvenile DNA collection.

Dating It Safe is a longitudinal cohort study of 1,042 youth in southeast Texas. Primarily freshmen high school students were recruited and assessed in the spring of 2010. Follow-up waves were collected annually each spring from 2011 through 2017 (Waves 2-8). The primary aims of this research study were to examine the:

• longitudinal association between the three different forms of teen dating violence (TDV; i.e., physical violence, psychological abuse, and sexual aggression), and
• risk and protective factors of TDV perpetration and victimization.

This study evaluated program design, quality of treatment delivery, and program effectiveness of three separate state sponsored alcohol specific treatment programs in prisons located in Montana, Ohio, and Texas from 2006 to 2012.

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 measures the size and structure of the underground commercial sex economy in eight major US cities: San Diego, Seattle, Dallas, Denver, Washington, DC, Kansas City, Atlanta, and Miami. The goals of this study were to derive a more rigorous estimate of the underground commercial sex economy (UCSE) in eight major US cities and to provide an understanding of the structure of this underground economy.

Researchers relied on a multi-method approach using both qualitative and quantitative data to estimate the size of UCSE including:

1. Collecting official data on crime related to the underground weapons and drugs economies
2. Conducting semi-structured interviews with convicted traffickers, pimps, child pornographers, and sex workers at the federal, state, and local levels
3. Conducting semi-structured interviews with local and federal police investigators and prosecutors to inform our analysis of the interrelationship across different types of underground commercial sex activity.

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

Validation data (Human Trafficking Data, n = 180) was collected through 180 structured interviews with victim service provider clients who responded to the screening tool. The screening tool was administered by the victim service providers at regular intakes or subsequent interview sessions between July 2012 and June 2013. Service providers were instructed to invite any potential trafficking victims, that is persons who may have been trafficked or subject to similar crimes, whom they judge to be emotionally stable enough to participate. Status as a trafficking victim did not have to be determined in advance of the interview, since a mix of trafficked and non-trafficked clients in the study sample was necessary to establish the validity and predictive ability of the screening tool.

Researchers also conducted confidential case file reviews during site visits at partner agencies, and in-depth interviews with service providers (n = 12 from 11 agencies), clients (n = 7 from 6 agencies) and key informant interviews (n = 12) with law enforcement officers, prosecutors and probation officers.