By John S. Hollywood, Dulani Woods, Samuel Peterson, Michael J. D. Vermeer, Brian A. Jackson

Deficiencies in the quality and interoperability of law enforcement data have been identified as major problems that hamper law enforcement decisionmaking and operations. Data governance and data management (DG/DM) can address these issues by improving the quality and shareability of data. On behalf of the National Institute of Justice, the Police Executive Research Forum and RAND convened a panel to identify the most-pressing needs to leverage DG/DM knowledge to enable major improvements in the quality, availability, and interoperability of law enforcement data.

The panelists identified five themes: improving law enforcement's DG/DM capabilities; improving protections on law enforcement data; improving community participation in data decisionmaking; developing novel data and processes to support broad, multiagency conceptions of community safety; and improving the value of traditional law enforcement data. The panelists rated the problems and potential solutions they described to identify a set of high-priority needs for improving the quality and integrity of community safety data for law enforcement agencies and all other agencies and groups involved in the community safety enterprise. These needs and supporting context are described in this report. The highest-priority theme emerging from the workshop was using DG/DM to improve community safety data protections in various ways, including developing guidelines, core processes, training, and guidance for agencies to work with vendors and improving community participation in data decisionmaking.

RAND - Sep. 11, 2024