Data Exchange & Reporting

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Bureau of Justice Statistics

The Bureau of Justice Statistics (BJS) is a statistical agency of the U.S. Department of Justice that collects, analyzes, and disseminates data related to crime, criminal justice, and the operations of the justice system in the United States. The BJS produces a wide variety of reports and statistical publications on topics such as crime trends, victimization rates, arrest and conviction data, and the characteristics of incarcerated populations. The agency also supports research and evaluation activities to improve the quality and relevance of criminal justice statistics. The BJS plays a critical role in providing policymakers, researchers, and the public with accurate and reliable information on the state of criminal justice in the United States.

Bureau of Justice Statistics

California Department of Justice

The California Department of Justice (DOJ) is the states chief law enforcement agency that is responsible for enforcing the law, defending the public, and protecting the rights of Californians. OpenJustice is an initiative launched by the DOJ to increase transparency and promote more informed criminal justice policies through data sharing. The OpenJustice website provides a centralized source of data on key aspects of Californias criminal justice system, including arrest rates, sentencing trends, and use of force by law enforcement. The goal is to use data to promote accountability and informed decision-making among policymakers, practitioners, and the public.

California Policy Lab

The California Policy Lab (CPL) is a research center that uses data-driven approaches to inform public policy and address pressing social issues in California. The lab partners with government agencies, nonprofits, and other organizations to conduct rigorous, applied research that generates evidence-based insights to improve the effectiveness and efficiency of public programs and services. The CPLs areas of focus include criminal justice, homelessness, education, labor markets, and poverty. The lab is committed to advancing equity and inclusion in all of its research, and to promoting the use of data and evidence in decision-making processes to support positive social outcomes for all Californians.

Center for Justice Innovation

The Center for Justice Innovation (CJI) is a non-profit organization based in the United States that works to promote criminal justice reform by providing research, policy analysis, and technical assistance to government agencies and community organizations. The organization aims to identify and implement evidence-based solutions to improve the fairness and effectiveness of the criminal justice system, particularly in addressing issues of racial and social inequality. CJI focuses on a range of topics, including pretrial justice, community supervision, court innovation, and reentry services. The organization works with local, state, and federal agencies to develop innovative solutions to complex criminal justice challenges.

Crime and Justice Policy Lab

The Crime and Justice Policy Lab (CJPL) is a research center at the New York University School of Law that focuses on using data-driven research to promote fairness and justice in the criminal justice system. CJPL conducts policy research and analysis, develops new solutions to address criminal justice issues, and provides technical assistance and support to policymakers and practitioners in the field. Their areas of research include policing, pretrial detention, bail reform, sentencing, and reentry. CJPL also collaborates with community-based organizations, advocacy groups, and other stakeholders to ensure that their research reflects the needs and perspectives of those impacted by the criminal justice system.

Federal Bureau of Investigation

Human Services Research Institute

The Human Services Research Institute (HSRI) is a nonprofit organization that specializes in research, evaluation, and consulting services for individuals and organizations in the human services field. They work with government agencies, foundations, and other nonprofit organizations to provide research and evaluation on a range of topics, including mental health, substance use, developmental disabilities, and child welfare. HSRI aims to improve the quality of life for people with disabilities and their families by providing evidence-based practices and innovative solutions that promote independence, health, and well-being. Their work includes program evaluation, data analysis, policy development, technical assistance, and training for human services professionals.

ICJIA

The Illinois Criminal Justice Information Authority (ICJIA) is a state agency that provides research, analysis, and program evaluation in criminal justice and public safety. Established in 1983, the ICJIA aims to improve the administration of justice and enhance public safety through various initiatives, such as conducting research on criminal justice trends, providing training and technical assistance to professionals in the field, and administering grants to support programs and services that address crime and victimization. The agency is governed by a 14-member board appointed by the Governor of Illinois and is committed to ensuring that its policies and programs are data-driven and evidence-based.

Measures for Justice

Measures for Justice (MFJ) is a non-profit organization that aims to advance the transparency and accountability of the criminal justice system in the United States. The organization collects and analyzes criminal justice data from various counties across the country and uses it to develop a set of standardized performance measures that reflect the effectiveness, fairness, and safety of the criminal justice system. MFJ provides this data to jurisdictions, researchers, and policymakers to help them identify areas for improvement and evaluate the impact of criminal justice policies and practices. By promoting data-driven decision-making and accountability in the criminal justice system, MFJ seeks to create a more just and equitable society.

Northeastern University