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The study examined adolescent sexual assault survivors' help-seeking experiences with the legal and medical systems in two Midwestern communities that have different models of Sexual Assault Nurse Examiner (SANE)/Sexual Assault Response Team (SART) interventions.

In Dataset 1 (Qualitative Victim Interviews), investigators conducted qualitative interviews with N=20 adolescent sexual assault victims 14-17 years old. From these interviews, investigators identified three distinct patterns of survivors' post-assault disclosures and their pathways to seeking help from SANE programs and the criminal justice system: voluntary (survivors' contact with the legal and medical system was by their choice), involuntary (system contact was not by choice), and situational (circumstances of the assault itself prompted involuntary disclosure). Interviews included responses that described the assault, their experience with both the SANE/SART programs and the criminal justice system, and victim and offender demographic information.

In Dataset 2 (SANE Programs Quantitative Data), investigators obtained SANE program records, police and prosecutor records, and crime lab findings for a sample of N=395 (ages 13-17) adolescent sexual assault victims who sought services from the local SANE programs in two different counties. The data collected examined victim's progress through the criminal justice system. Factors that could potentially affect case progression were also examined; age of victim, relationship to offender, assault characteristics, number of assaults on victim, and evidence collected. Differences between the two different counties' programs were also examined for their effect on the case progression.

This study investigated the complex relationship between unauthorized immigration and crime at the local level. Through a mix of data fusion, synthetic population modeling, and detailed crime reporting from selected jurisdictions, the study sought to produce nuanced insights to challenge prevailing assumptions about immigration and crime, ultimately aiding in informed policy-making and resource allocation.

This study employed crime and crime reporting data from ten jurisdictions across the United States paired with synthetic data which estimated the unauthorized immigrant population. This research aimed to provide an in-depth analysis at the census tract level. Analyses focused on unauthorized immigration and its correlation with drug, property, and violent crime rates, while accounting for crime reporting in traditional and emerging immigrant destinations along with sites with low foreign populations.

Prior to 2003, the State of Alabama had no formal methodology to forecast prison populations, including a simulation model or statistical time-series and forecasting methods. Instead, the Alabama Department of Corrections relied on percent growth models, using the existing prison population to forecast future statewide prison populations. As Alabama moved toward a structured sentencing system, more precision was needed to investigate the impact statewide sentencing reform would have on the prison population. Adding to the need for more precise forecast methods, the Alabama Sentencing Commission intended to incorporate Virginia worksheet-style sentencing guidelines into its sentencing reform efforts. The Virginia sentencing guidelines uses offender and offense factors identified with statistical models and weights to guide sentence recommendations. Alabama require an analytical tool to guide the Commission during development of such a complicated sentencing system. To shepherd this process, the simulation model development project was undertaken which consisted of three phases;

• The development of a baseline projection of current practices for later comparison with projections made following implementation of the sentencing standards;
• Incorporating the initial sentencing standards into the simulation model; and
• Integrating disparate modules together into a user-friendly model interface.

The study examined the first five years of operation of Kansas senate bill 123 (November 2003-November 2008) examining individual-level and system-level outcomes over time and across community corrections districts and judicial actors. The study also assesses the impact of SB 123 on the work routines of criminal justice system actors, examining changes in sentencing and supervision practices and interactions across agencies following the implementation of SB 123.

Individual-level impacts of SB 123 on recidivism rates are assessed using sentencing and revocation data collected by the Kansas Sentencing Commission for drug possessors sentenced in Kansas between November 1, 2001 and October 31, 2008 (Dataset 1). Propensity score matching was used to compare the revocation and reconviction rates of drug possessors sentenced to SB 123 with the recidivism rates of similar individuals sentenced to regular probation (standard supervision by community corrections or court services) (Dataset 2). Supervision and program participation data provided by the Kansas Department of Corrections were used to assess the use of drug treatment services, education and employment services, and sanctions for individuals sentenced to SB 123 or standard community corrections (Dataset 3). These quantitative data were complemented by a set qualitative data derived from interviews with SB 123-eligible offenders (Dataset 4), community corrections managers, and courtroom actors (judges, prosecutors, public defenders) (Dataset 5).

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.

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.

The purpose of the study was to:

• Describe the prosecution and sentencing histories for domestic violence and other offenses;
• Determine the severity gap in prosecution and sentencing between these domestic violence and non-domestic violence over a six year period; and
• To answer whether the variation in prosecution and sentencing severity predicts being subsequently charged for domestic violence in the future.

Rhode Island was selected as the study site because it has a high domestic violence arrest rate and specifically distinguishes domestic violence from non-domestic violence offenses based on the relationships of the parties, not by specific type of crime. Further, Rhode Island's judiciary maintains a public web-based database, called CourtConnect, that includes an index of defendants by name and date of birth and lists all arrests followed by prosecution and court actions through final sentence. The criminal history information includes all charges filed in any Rhode Island court for the last 25 years.

Two researchers independently coded offender data (Differential Sentencing Data - Persons, n=982) available on CourtConnect. Coders then determined whether the defendants were prosecuted for the charges brought against them (Differential Sentencing Data - Offenses, n=6,649). Offenses that were not prosecuted were differentiated from offenses that were prosecuted. Each charge was classified as domestic violence or non-domestic violence as defined by state statute.

Prosecuting attorneys enjoy broad discretion in making decisions that influence criminal case outcomes. This study examines the impact of legal, quasi-legal, and extra-legal factors on case outcomes throughout the prosecutorial process. It then examines how prosecutors weigh these factors in their decision making and explores the formal and informal mechanisms that constrain or regulate prosecutors' decision-making.

The study examines case screening decisions, charging decisions, plea offers, sentence recommendations, and dismissals in two moderately large county prosecutors' offices. It includes statistical analyses of actual case outcomes, responses to a standardized set of hypothetical cases, and responses to a survey of prosecutors' opinions and priorities, as well as qualitative analyses of two waves of individual interviews and focus groups. It addresses the following questions:

1. How did prosecutors define and apply the concepts of justice and fairness?
2. What factors were associated with prosecutorial outcomes at each stage?
3. How did prosecutors interpret and weigh different case-specific factors in making decisions at each stage?
4. How did contextual factors constrain or regulate prosecutorial decision making?
5. How consistent were prosecutors' decisions across similar cases? What case-level and contextual factors influenced the degree of consistency?

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 how police managers would use information about their officers' performance in procedural justice terms. The project provided for the injection of citizen assessment of service quality into systems of police performance measurement and accountability. Information on the quality of police-citizen encounters was drawn from surveys of citizens who had contact with the police in each of two cities, Schenectady and Syracuse, New York. Following the accumulation of survey data to form a baseline, survey results on citizens' satisfaction and judgments about procedural justice in their police contacts were summarized and reported to command staffs on a monthly basis through the departments' respective Compstat meetings. In this way the project provided for measures of police performance with respect to procedural justice with sufficient periodicity that the information was potentially useful in managing performance.

The study addressed four specific questions:

1. Does performance on these outcomes - procedural justice and citizen satisfaction - improve when information on these outcomes is incorporated into departments' systems of performance measurement and accountability?
2. What do police managers do with this information, and how (if at all) are field supervisors and patrol officers affected by it?
3. Are survey-based measures of citizens' subjective experiences valid measures of police performance, that is, do they reflect the procedural justice with which police act?
4. Can survey based measures be deployed economically (e.g., through targeted sampling), and can other, less expensive measures of the quality of police-citizen encounters be substituted for survey-based measures?

To answer these questions, researches used a mixed methods data collection plan. In both Schenectady and Syracuse, a survey was administered to people who had recent contact with the police. Semi-monthly samples were randomly drawn from police records of calls for service, stops, and arrests from mid-July, 2011, through mid-January, 2013. Across the 18 months of surveying, 3,603 interviews were completed. Also carried out, was a survey of key informants in each city - neighborhood association leaders - in order to extend the assessment of public perceptions of the local police beyond those who have direct contact with police to the larger community. Interviews with patrol officers and supervisors were also conducted in both sites, once at about the mid-point of the 18-month police services survey and again at the conclusion of the surveying. Interviews were conducted with the commanders shortly after the project was introduced to them in October of 2011. Finally, in Schenectady, "armchair" observation of a subset of the 1,800 encounters about which the citizen had already been interviewed was conducted.

The collection contains 7 SPSS data files and 6 Syntax files:

1. archive_Census_beat.sav (n=30; 28 variables)
2. archive_keyinformant_analysis.sps
3. archive_keyinformant_survey.sav (n=90; 28 variables)
4. archive_obs_byenc.sav (n=476; 79 variables)
5. archive_obs_byobserver.sav (n=1,078; 476 variables)
6. archive_obs_enc_analysis.sps
7. archive_obs_enc_var_construction.sps
8. archive_police_data.sav (n=3,603; 9 variables)
9. archive_policeservices_survey_analysis.sps
10. archive_policeservices_survey_closed.sav (n=3,603; 148 variables)
11. archive_policeservices_survey_open.sav (n=1,218; 23 variables)
12. archive_policeservices_survey_var_construction.sps
13. Syntax to replicate results - list by table.pdf

For confidentiality reasons, the qualitative interviews with citizens, police sergeants, patrol officers, and commanders regarding their experiences are not available as part of this collection.

The purpose of the study was to evaluate the extent to which deterrence or cooperative strategies motivated firms and their facilities to comply with environmental regulations. The project collected administrative data (secondary data) for a sample of publicly owned, United States companies in the pulp and paper, steel, and oil refining industries from 1995 to 2000 to track each firm's economic, environmental, and enforcement compliance history. Company Economic and Size Data (Part 1) from 1993 to 2000 were gathered from the Standard and Poor's Industrial Compustat, Mergent Online, and Securities and Exchange Commission, resulting in 512 company/year observations. Next, the research team used the Directory of Corporate Affiliations, the Environmental Protection Agency's (EPA) Toxic Release Inventory (TRI), and the EPA's Permit Compliance System (PCS) to identify all facilities owned by the sample of firms between 1995 and 2000. Researchers then gathered Facility Ownership Data (Part 2), resulting in 15,408 facility/year observations.

The research team gathered various types of PCS data from the EPA for facilities in the sample. Permit Compliance System Facility Data (Part 3) were gathered on the 214 unique major National Pollutant Discharge Elimination System (NPDES) permits issued to facilities in the sample. Although permits were given to facilities, facilities could have one or more discharge points (e.g., pipes) that released polluted water directly into surface waters. Thus, Permit Compliance System Discharge Points (Pipe Layout) Data (Part 4) were also collected on 1,995 pipes.

The EPA determined compliance using two methods: inspections and evaluations/assessments. Permit Compliance System Inspections Data (Part 5) were collected on a total of 1,943 inspections. Permit Compliance System Compliance Schedule Data (Part 6) were collected on a total of 3,336 compliance schedule events. Permit Compliance System Compliance Schedule Violation Data (Part 7) were obtained for a total of 246 compliance schedule violations. Permit Compliance System Single Event Violations Data (Part 8) were collected on 75 single event violations. Permit Compliance System Measurement/Effluent and Reporting Violations Data (Part 9) were collected for 396,479 violations. Permit Compliance System Enforcement Actions Data (Part 10) were collected on 1,730 enforcement actions.

Occupational Safety and Health Administration Data (Part 11) were collected on a total of 2,243 inspections. The OSHA data were collected by company name and include multiple facilities owned by each company and were not limited to facilities in the Permit Compliance System. Additional information about firm noncompliance was drawn from EPA Docket and CrimDoc systems. Administrative and Judicial Docket Case Data (Part 12) were collected on 40 administrative and civil cases. Administrative and Judicial Docket Case Settlement Data (Part 13) were collected on 36 administrative and civil cases. Criminal Case Data (Part 14) were collected on three criminal cases.

For secondary data analysis purposes, the research team created the Yearly Final Report Data (Part 15) and the Quarterly Final Report Data (Part 16). The yearly data contain a total of 378 company/year observations; the quarterly data contain a total of 1,486 company/quarter observations.

The research team also conducted a vignette survey of the same set of companies that are in the secondary data to measure compliance and managerial decision-making. Concerning the Vignette Data (Part 17), a factorial survey was developed and administered to company managers tapping into perceptions of the costs and benefits of pro-social and anti-social conduct for themselves and their companies. A total of 114 respondents from 2 of the sampled corporations read and responded to a total of 384 vignettes representing 4 scenario types: technical noncompliance, significant noncompliance, over-compliance, and response to counter-terrorism.

Part 1 contains 19 economic and size variables. Part 2 contains a total of eight variables relating to ownership. Part 3 contains 67 variables with regard to facility characteristics. Part 4 contains 31 variables relating to discharge points and pipe layout information. Part 5 contains 13 inspections characteristics variables. Part 6 contains 13 compliance schedule event characteristics variables. Part 7 contains 11 compliance schedule violation characteristics variables. Part 8 contains 10 single event violation characteristics variables. Part 9 contains 79 variables including variables for matching limits and discharge monitoring reports, actual limits (permitted levels) variables, standardized limits variables, statistical base codes variables, reported units on limits variables, units for standardized limits variables, sampling information variables, additional limits information, actual DMR reports for each limit, effluent violations, and variables relating to technical aspects of reporting. Part 10 contains 26 enforcement actions variables. Part 11 contains 24 Occupational Safety and Health Administration inspection variables. Part 12 contains 39 administrative and judicial court case characteristics variables. Part 13 contains 21 court case settlement characteristics variables. Part 14 contains 9 criminal case characteristics variables. Part 15 contains 95 variables created for final report analyses by year. Part 16 contains 46 variables created for final report analyses by quarter. Part 17 contains 157 variables including pro-social variables with security/over-compliance intentions, noncompliance variables with technical/significant noncompliance intentions, vignette characteristics variables, other variables derived from survey questions, environmental norms variables, and demographic characteristics 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 compared the adult criminal justice and child welfare system outcomes of four pathways through the juvenile justice system - Traditional Probation, Intensive Probation, Specialty Court Docket (Crossroads Program), and commitment to state youth correction services (Department of Youth Services). The study compared the effectiveness of a continuum of services and supervision in improving public safety, including re-arrest and re-incarceration, and in improving outcomes in engagement with child welfare as parents, including child welfare complaints and dispositions.

The core research question is: "what is the relative effectiveness of four different juvenile justice interventions on improving public safety and child welfare outcomes?" The study population is all youths (n=2581) who entered the juvenile court from 2004-2008. It then included 7-10 years of follow-up in the adult justice and child welfare systems for all youths. The four interventions are on a continuum of intensity of services and supervision with Traditional Probation having the fewest services followed by Intensive Probation, Crossroads, and Division of Youth Services commitment.

The study's deposits include 14 SPSS data files:

• arrest_final.sav
• CW_Custody_Adult_final.sav
• CW_Custody_child_final.sav
• CW_Intakes_Adult_final.sav
• CW_Intakes_child_final.sav
• CW_Placements_adult_final.sav
• CW_Placements_child_final.sav
• General_final.sav
• Jail_final.sav
• JC_charges_final.sav
• JC_detention_final.sav
• JC_disposition_final.sav
• JC_Gal_final.sav
• prison_final.sav

The Accountability and Incentives Management (AIM) system is a graduated response system that was implemented by the Maryland Department of Juvenile Services (DJS) to promote supervision compliance and reduce rates of supervision violations and recidivism, among other juvenile justice-related outcomes. The purpose of this study was to assess AIM's implementation and outcomes. The treatment group (or AIM group) included adjudicated youths who started/completed probation or aftercare supervision with DJS between November 1, 2015 and October 30, 2017. A comparison group was comprised of youth who were supervised prior to AIM implementation (July 1, 2013 to June 30, 2015).

Data were gathered from de-identified administrative records provided by DJS. The unit of analysis is the individual. Variables include: youth delinquency history before supervision; risk/needs assessment; detentions, complaints, and arrests during supervision; AIM sanctions and incentives; youth responses in the AIM program; and demographic characteristics such as age, gender, and race/ethnicity.

In October 2013, the Pacific Institute for Research and Evaluation (PIRE), in partnership with Big Brothers Big Sisters of Kentuckiana (BBBS-KY), was funded by the Office of Juvenile Justice and Delinquency Prevention (OJJDP) to implement a mentoring research best practices project that explored whether three types of parent/guardian level variables (psychosocial parent/family characteristics, parent engagement in the mentoring match, and parenting style) influence match quality, match length, and youth outcomes.

This study was designed to describe these factors, as well as investigate how these factors impact match length, match strength, and youth program outcomes. Data to inform both objectives was collected using a longitudinal multimode approach with youth, mentors and parents in the BBBS-KY program in the metro Louisville area. In addition, data from 16 local school districts provided measures of academic performance, school attendance, and disciplinary suspensions. Data were collected at multiple time points from youth, volunteer mentors, and parents/guardians. These data included BBBS-America standard surveys (Youth Outcomes Survey, and Volunteer and Youth Strength of Relationship Surveys). PIRE supplemented the standard BBBS data collection efforts with project-specific baseline volunteer mentor survey and several formative and outcome based inserts to supplement the data that was regularly collected from youth and mentors. The PIRE and BBBS-KY teams also created a project-specific parent/guardian survey to better understand the impact of parental factors on match dynamics and youth mentoring program outcomes. Due to low literacy levels of parents/guardians, this survey was administered as a mixed-mode, audio-computer assisted interview (ACASI). Additional data sources for this study included data from (a) coding of qualitative case review notes for selected aspects of matches by BBBS-KY match support specialists, (b) academic data collected from school districts, and (c) data collected on general match characteristics (e.g., match closure status) collected by BBBS-KY as part of their standard business operations. Most measures were collected early in the match (either match formation or three months into the match) and at 12 months into the match.

This study examines two counties in Oregon (Multnomah and Yamhill) that have utilized a pre-adjudication risk assessment (PAA) to inform criminal case negotiation since 2014. This study seeks to answer these core questions:

• has the introduction of a PAA into the court decision-making process impacted racial and ethnic disparities in sentencing outcomes over time in each county;
• does one PAA process appear to produce more promising results in impacting racial/ethnic disparities;
• using interviews and visual observations, how does the PAA influence case discussion and negotiation, decision-making, and workgroup norms and culture;
• does validation of the PAA tool yield significant mean score differences across racial groups and/or predictive biases?

A number of jurisdictions have turned to pre-adjudication risk assessments (PAA) as a tool to potentially lower or stabilize incarceration rates by identifying the best suitable cases for community-based supervision. Questions have been raised about using risk assessment tools to help with the negotiation of sentencing outcomes in the pre-adjudication stages of criminal cases, particularly the potential for exacerbating disparate racial/ethnic sentencing 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 study examined the impact that a six-month broken windows style policing crackdown on disorder had on residents of three California cities: Colton, Ontario and Redlands. The study investigated four questions:

1. What is the impact of broken windows policing on fear of crime among residents of the targeted hot spots?
2. What is the impact of broken windows policing on police legitimacy in the targeted hot spots?
3. What is the impact of broken windows policing on reports of collective efficacy in the targeted hot spots?
4. Is broken windows policing at hot spots effective in reducing both actual and perceived levels of disorder and crime in the targeted hot spots?

To answer these questions, a block randomized experimental design was employed to deliver a police intervention targeting disorder to 55 treatment street segments with an equal number of segments serving as controls.

Data were collected on the type and amount of crime before, during, and after implementation as well as interviews of residents before and after the crackdown in order to gauge their perception of its success.

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 explored the intensity of supervision conditions on parole failures by considering the role of home visits in five major events: general violations, drug test failures, technical violation arrests, new felony arrests, and revocations. Longitudinal data from the State of Georgia were pooled to examine 28,284 parolees who completed supervision in 2011 - 2013.

Qualitative data analyzing case notes on home visits obtained from an offender case management system on high risk parolees who entered supervision between 2008, 2010 and 2012 and exited between 2011 through 2013 are not archived with ICPSR.

The study collection includes 2 SPSS data files: Historical_Agency_Dataset.sav (n=28,284; 39 variables) and Observational_Dataset.sav (n=383; 122 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 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.

The effective treatment of youth with co-occurring mental health and substance use disorders placed in juvenile justice residential facilities aims to effect positive change among youth in the system's care and promote public safety. This study aimed to examine the prevalence of co-occurring disorders among a multiyear, statewide sample of youth completing residential placement within the juvenile justice system in the state of Florida.

• Determine the prevalence of mental health and substance use disorders, and their co-occurrence among youth placed in long-term juvenile justice facilities across the state of Florida
• Assess the impact of service matching to assessed dynamic risk factors, dosage of intervention services actually provided to each youth, and treatment quality/fidelity of those interventions on both changes in risk and protective factors during placement and post-release recidivism outcomes
• provide policy recommendations related to the efficacy of best practices through the combination of service matching/dosage/treatment quality of treatment within residential facilities among youth presenting with co-occurring disorders

These data are part of the 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 excepted as noted below. All direct identifiers have been removed and replaced with text enclosed in square brackets (e.g.[MASKED]). Due to the masking of select information, variables/content described in the data documentation may not actually be available as part of the collection. Users should consult the investigator(s) if further information is needed.

This collection is one part of the Department of Justice's response to 42 USC 14142, a law which requires the U.S. Attorney General to 1) "acquire data about the use of excessive force by law enforcement officers" and 2) "publish an annual summary of the data." Researchers compared agency-level data reported in the 2003 (ICPSR 4411) and 2007 (ICPSR 31161) waves of the Law Enforcement Management and Administrative Statistics (LEMAS) surveys with available external sources including publicly available reports and direct contact with agency personnel. The purpose of this study was to assess validity and reliability of the available agency-level reported data on citizen complaints about police use of force.

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 was designed to begin to build a knowledge base to address the challenges of crossover youth in Maryland - those involved at some point in their lives in the dependency and delinquency systems. Employing a mix of qualitative and quantitative methods, the research focused on the five most populous jurisdictions in the state, Baltimore City, and Anne Arundel, Montgomery, Prince George's, and Baltimore Counties.

This collection includes 4 SPSS data files:

1. CINA BCity_Archive_final_Corrected-ICPSR.sav (n=400; 64 variables)
2. CY Stakeholder Survey_Archive_final_Corrected_Update2016-ICPSR.sav (n=164; 302 variables)
3. Delinquency_Risk_Archive_final_Corrected_Update2016-ICPSR.sav (n=1,127; 62 variables)
4. Needs_Archive_final-ICPSR.sav (n=700; 67 variables)

Data from interviews with 26 officials in state and local agencies to collect information on policies and practices affecting crossover youth in Maryland are not available as part of this collection.

Few studies have explored aggregated DNA analysis findings from sexual assault kits (SAKs) and predictive features of developing useful DNA information related to the foreign contributor(s). Information gleaned from evaluating DNA analysis findings have significant practice and policy implications for both forensic medical examiners/sexual assault nurse examiners and forensic scientists. Results from this innovative study were obtained by tracking SAKs from evidence collection, data from sexual assault medical forensic examinations, through DNA analysis results, and data from publicly funded laboratories.

This study does not include data files. It includes 13 Python files used for statistical analysis.

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 aimed to develop and empirically test a dynamic risk assessment model of radicalization process characteristics of homegrown terrorists inspired by Al Qaeda's ideology. The New York Police Department (NYPD) model developed by Mitchell D. Silber and Arvin Bhatt was chosen as the basis for creating a typology of overt and detectable indicators of individual behaviors widely thought to be associated with extremism. Specific behavioral cues associated with each stage of radicalization were coded and used to estimate the sequencing of behaviors and the duration of the average radicalization trajectory. Out of 331 homegrown American Jihadists (Group A), 135 were selected for further examination of their radicalization (Group B). Data were collected from public records ranging from social media postings by the offenders themselves to evidence introduced in the adjudication of the offenses for which the offenders were incarcerated. Life histories were compiled for Group B, whose detailed biographies were used to chart the timelines of their radicalization trajectories.

The collection includes an Excel file which contains one data table for Group A (10 variables, n=331) and two data tables for Group B (32 variables, n=135 and 5 variables, n=135, respectively). An accompanying codebook file details the variables in these tables. There is also a document with approximately 1 page narratives for each of the 135 individuals in Group B. A file containing a key indicating the names of the subjects is not available with this collection.

This study followed the outcomes of the Bridge of Faith program. Bridge of Faith is an expansion project based on efforts of the Aim4Peace Violence Prevention Program, serving youth 13-24 years of age living in a prioritized area of Kansas City, Missouri. Bridge of Faith created goals and objectives that strategically address a continuum from response to violence exposure, intervention for violence survivors, and preventing of violence exposure. Activities were designed to target a reduction in risk factors and improvement in resiliency factors associated with the use of violence, as well as improve access to care and quality of services for those who are survivors of violence to reduce the probability of violence and exposure to others in the future. The overall purpose was to improve the health, social, and economic outcomes for youth and families who have been exposed to trauma and/or violence and prevent further violence from occurring. The project will facilitate these outcomes in specific goals and objectives to expand access to evidence-based programs and services for youth survivors through a new platform for collaborating agencies to link survivors of violence to additional wrap around services, and enhance the performance of service agencies through training, strengthening knowledge and skill development to ensure quality, trauma-informed, and culturally competent care.

This study on the Bridge of Faith Project was split into two datasets, Participant Survey Data and Police Data. Individuals were the unit of analysis measured in the Participant Survey Data, and criminal acts were the unit of analysis measured in the Police Data. Participant Survey Data contains 22 variables and 12 cases. Police Data contains 26 variables and 9 cases.

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.

This project sought to study the District Attorney of New York's (DANY) current practices by addressing the complex relationship between prosecutorial decision making and racial and ethnic justice in felony and misdemeanor cases closed in New York County in 2010-2011. Using a mixed-methods approach, administrative records from the DANY case-management systems and prosecutorial interviews were examined to study case acceptance for prosecution, pretrial detention and bail determination, case dismissal, plea offers, and sentencing. Researchers developed five hypotheses for the data collected:

1. Blacks and Latinos are more likely to have their cases accepted for prosecution than similarly situated white defendants.
2. Blacks and Latinos are more likely to be held in pretrial detention and less likely to be released on bail.
3. Blacks and Latinos are less likely to have cases dismissed.
4. Blacks and Latinos are less likely to receive a plea offer to a lesser charge and more likely to receive custodial sentence offers.
5. Blacks and Latinos are more likely to be sentenced to custodial punishments.

All criminal activity of the defendant was examined, as well as their demographics and prior history, the location of the crime. Information on the Assistant District Attorney (ADA) was examined as well, including their demographics and caseload in order to more thoroughly understand the catalysts and trends in decision making.

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 designed to examine how districts that experienced an incident of school employee sexual misconduct in 2014 defined, interpreted, and implemented key elements of Title IX before, during, and after an incident. The study used a qualitative case study design with a purposeful sample of five districts recruited from a database of 459 districts who experienced a case of school employee sexual misconduct in 2014. The study was conducted between January 2016 and September 2017.

Data collected included: 1) various district documents, 2) 41 interviews with primary actors (school employees and county officials directly involved in responding to the incident), 3) 10 focus groups with 51 secondary actors (school employees who were not directly involved with the incident but who might have been indirectly affected by it), and 4) offender, victim and district characteristics. Documents reviewed included written policies and protocols, training materials and handbooks for staff and students, case documents, and other guiding documents as applicable. In interviews and focus groups, participants were asked to discuss their knowledge of district policies and procedures, to describe the dissemination of and any changes to these policies and procedures, and to provide recommendations for improvement. To protect the confidentiality all district and participant identifying information is confidential and has been removed from any reporting.

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 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 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.

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 the extent to which contextual factors influenced variation in sex offender sentencing decisions.

By law, Pennsylvania trial courts were required to submit all felony and misdemeanor convictions under the Pennsylvania Sentencing Guidelines to the Pennsylvania Commission on Sentencing on a yearly basis.

These data were supplemented with county-level data from the American Community Survey, Administrative Office of Pennsylvania Courts' Annual Caseload Statistics of the Unified Judicial System of Pennsylvania, Associated Religion Data Archives, and Pennsylvania Department of State, Voter Registration Statistics Archives.

The collection contains 1 SPSS data file (Cleaned-Data-2015-R2-CX-0039.sav (n=318048; 31 variables)).

Demographic variables include gender, race, and defendant's age at sentencing.

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 designed to provide a mixed methods comparative evaluation of three established court-based programs that serve offenders with serious mental illness (SMI). These programs were selected in response to criticism of similar research for studying young programs that are still in development, employing short follow up periods that are unable to indicate sustained effectiveness, and utilizing less than ideal comparison conditions. The study was conducted in Cook County, Illinois, and data were collected from three distinct court-based programs: the Cook County Felony Mental Health Court (MHC) which serves individuals with SMI who have been arrested for nonviolent felonies, the Specialized Mental Health Probation Unit which involves specially trained probation officers who supervise a reduced caseload of probationers diagnosed with SMI, and the Cook County Adult Probation Department which has an active caseload of approximately 25,000 probationers, a portion of whom have SMI. Probation officer interviews were coded for themes regarding beliefs about the relationship between mental illness and crime, views on the purpose of their program, and approaches used with probationers with SMI. The coding of probationer interviews focused on experiences related to having SMI and being on probation, including: the extent to which probation was involved with mental health treatment; development of awareness of mental health issues; evaluations of the programs based on subjective experiences; and the relationship dynamics between probationers and staff.

The collection includes 3 Stata data files: DRI-R_data_for_NACJD_041315.dta with 98 cases and 61 variables, Epperson_NIJ_Quantitative_Data_for_NACJD_041315.dta with 25203 cases and 49 variables, and incarceration_data_061515.dta with 676 cases and 4 variables. The qualitative data are not available as part of this data collection at this time.

This study examines the radicalization of Western women to extremist violence, both through the creation of a moral-situational-action risk model and the examination of their responses to various types of online propaganda. The Moral-Situational-Action Risk Model for Extremist Violence (MSA-RMEV) was developed using situational action theory from criminology and violence risk practice literature. The MSA-RMEV revolves around three domains reflective of propensity, mobilization, and capacity building, geared towards providing a violence risk assessment that can assist the intelligence community in preventing future acts of violence.

A sample of women who self-identified as conservative, liberal, and Muslim were exposed to jihadist, alt-right, and alt-left online propaganda. Physiological responses and self-report assessments were recorded. Eye-gaze, pupil dilation, galvanic skin response, heart rate, and facial emotions were documented, along with women's judgment of their emotional, cognitive, and arousal states, while viewing propaganda.

Based on their results, women were categorized as high-risk, medium-risk, or low-risk for violence. Additionally, numerous variables were created to identify participant's beliefs and behavior related to radicalization. Beliefs included religiosity, political affiliation, the presence of moral emotions, sacred values, developmental maturity, and militant thinking. Behaviors included group affiliations, extent of involvement in extremist activities, and presence on social media platforms such as Facebook, Reddit, and Twitter. Demographic variables such as age, marital status, number of children, race, ethnicity, country of origin, and educational status were included.