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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.

The purpose of the study was to implement a "platform-based" methodology for collecting data about police organizations and the communities they serve with the goals of generating in-depth standardized information about police organizations, personnel and practices and to help move policing in the direction of evidence-based "learning-organizations" by providing judicious feedback to police agencies and policy makers. The research team conducted three web-based Law Enforcement Organizations (LEO) surveys of sworn and civilian law enforcement employees (LEO Survey A Data, n=22,765; LEO Survey B Data, n=15,825; and LEO Survey C Data, n=16,483). The sample was drawn from the 2007 Law Enforcement Management and Administrative Statistics (LEMAS) database. Agencies with 100 to 3,000 sworn police personnel were eligible for participation. To collect data for the Police-Community Interaction (PCI) survey (PCI Data, n=16,659), each week department employees extracted names and addresses of persons who had recent contact with a police officer because of a reported crime incident, traffic accident or traffic stop. Typically, the surveys were completed within two to four weeks of the encounter.

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 National Police Research Platform was designed to a) strengthen the science of policing by generating timely, in-depth, longitudinal information about policing organizations, personnel and practices and, b) move policing in the direction of evidence-based "learning organizations" by providing translational feedback to police agencies and policy makers. Phase I focused on testing methods and measures in 29 agencies in order to build the Platform infrastructure. First, a "total department" online methodology was successfully implemented covering numerous dimensions of organizational behavior, from supervision and accountability to employee integrity and burnout. Second, a public satisfaction contact survey was implemented in several jurisdictions to provide local external indicators of the quality of police-citizen encounters and organizational legitimacy in the community. Third, two longitudinal studies were initiated - one of new police recruits and one of new first-line supervisors - to chart their career development and identify factors that influence life trajectories. Finally, a randomized control trial was introduced in once site to test the effects of procedural justice training as part of the Platform's measurement system.

This study utilized: a national survey of law enforcement officials; a national survey of criminal justice faculty; a survey of criminal justice students at Arizona State University, Kutztown University, Michigan State University, and Sam Houston State University; four separate surveys of a small expert panel; and mini-case studies to investigate issues associated with police human resource management and planning, such as recruitment, selection, training, and promotion.