
Data collection in law enforcement is a critical aspect of crime prevention and investigation, with sources ranging from physical devices to third-party records and public interactions. Law enforcement agencies have historically relied on paper records, but the advent of computer systems and mobile data collection has revolutionized information gathering. This evolution has led to increased data sharing between agencies, aiding in crime suppression and officer safety initiatives. The FBI's Uniform Crime Reporting (UCR) Program collects data on various aspects of crime and incidents involving law enforcement, including hate crimes and officer suicides. Additionally, the UCR Program's National Use-of-Force and LEOKA (Law Enforcement Officers Killed and Assaulted) Data Collections provide insights into officer safety and the use of force. Law enforcement also accesses data from tech companies, genetic profile companies, and third-party records held by banks, hospitals, or internet service providers. Furthermore, the public plays a role in data collection through citizen complaints and civil rights lawsuits, shedding light on police misconduct and contributing to oversight initiatives.
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What You'll Learn

Data collection systems
Another method of data collection is through public interaction and contact. The Law Enforcement Public Contact (LEPC) Data Collection focuses on counting public interactions with law enforcement. This includes situations where officers are called to respond to a scene or initiate an activity that results in contact with citizens. These interactions are categorised and provide valuable insights into the work of law enforcement.
Modern mobile data collection technologies have also revolutionised data collection in law enforcement. Officers can now collect and analyse real-time data in the field, enabling quicker decision-making and actions. Additionally, data sharing between law enforcement agencies and with external partners, such as genetic profile companies, has become an important aspect of data collection. By obtaining data from third-party sources, such as 23andMe and GEDMatch, investigators were able to identify and arrest the Golden State Killer, demonstrating the power of data sharing in solving cold cases.
Furthermore, data brokers play a significant role in data collection by purchasing and selling user data to law enforcement agencies. These brokers collect personal data from various sources, including social media profiles, public records, and commercial sources. While this practice raises privacy concerns, it provides law enforcement with access to user locations, purchase histories, and other relevant information. Additionally, law enforcement agencies can access physical devices with subpoenas or search warrants, allowing them to extract data from locked phones and encrypted messaging apps.
Lastly, data on police misconduct and internal affairs can be obtained through civil rights lawsuits, watchdog groups, oversight agencies, and internal investigations. Combining official law enforcement data, publicly available data, and case-related data provides a more comprehensive understanding of officer conduct and departmental policies.
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Data sharing
Effective data sharing extends beyond law enforcement agencies themselves. In certain cases, law enforcement may seek evidence from third-party records held by nongovernmental institutions, such as banks, hospitals, or internet service providers. This type of data acquisition is governed by standards and laws, such as the federal Wiretap Act and the Stored Communications Act in the United States. Additionally, law enforcement agencies can access consumer data from tech companies, often through legal requests or demands. However, this has raised concerns about data security and privacy, with incidents of data breaches and forged requests highlighting the need for reform.
To enhance data sharing and collaboration, law enforcement agencies can utilize modern tools and technologies. Mobile data collection empowers officers to collect, analyze, and act upon real-time data directly from the field. Additionally, genetic profiling has proven useful in identifying new leads in cold cases, as demonstrated by California law enforcement agencies' collaboration with genetic profile companies in the Golden State Killer case. By comparing DNA specimens with genetic data from customers, investigators obtained an arrest warrant that ultimately led to a conviction.
While data sharing offers significant advantages, it must be approached with caution. As the amount of personal data available to investigators grows, sensitivity and discretion are crucial to prevent overreach and protect citizens' privacy. Law enforcement agencies must balance the benefits of data sharing with the need to maintain trust and transparency with the communities they serve.
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Third-party records
However, accessing third-party records raises privacy concerns and can infringe on the rights of those whose information is contained in the records. It can also deter individuals from seeking assistance. Therefore, regulations on law enforcement's access to and use of third-party records are crucial.
Standards have been established to govern law enforcement's access to, storage of, and disclosure of third-party records. These standards do not apply to all situations, such as national security, criminal prosecutions, grand jury subpoenas, or certain types of information acquisition. Law enforcement should only be permitted to access third-party records if the individual has consented, the information is unprotected or minimally protected, or a joint account holder has given consent.
When making a request for third-party records, law enforcement officials should clearly communicate whether there is a legal obligation to comply. Legislatures should also adopt statutes regulating agency access to personally identifiable data held by nongovernmental entities. This includes considering the level of cause an agency must have to request data and the process they must follow to obtain it.
It is important to address concerns about the potential obligation to comply and the impact on relationships between entities and their customers. Comprehensive regulation of access to third-party records is encouraged to protect sensitive information and ensure individuals' rights.
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Electronic surveillance
The FISA Amendments Act of 2008 has been used as the legal basis for mass surveillance programs, and the 2001 Patriot Act expanded federal law enforcement's authority to combat terrorism through electronic surveillance. The Electronic Surveillance Unit (ESU) of the Criminal Division's Office of Enforcement Operations conducts the initial review of applications for electronic surveillance.
In addition, data brokers often provide easy access to user data such as location and purchase history to law enforcement. This data is collected from social media profiles, public records, and commercial sources.
Modern mobile data collection allows law enforcement officers to collect, analyse, and act upon real-time data in the field.
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Misconduct data
Data collection on law enforcement topics can be done through modern mobile data collection methods, which allow officers to collect, analyse, and act upon real-time data in the field. The FBI's Uniform Crime Reporting (UCR) Program has been collecting crime data from law enforcement agencies across the US, including data on hate crimes, officer suicides, and use-of-force incidents.
Overtime data, while not indicative of misconduct on its own, can provide helpful insights. Officers who earn a significant amount of overtime may be abusing the system, and this data is typically available through an agency's payroll office. Social media profiles of officers can also reveal biases or credibility issues. The Plain View Project has aggregated a database of problematic social media posts by officers from various police departments. Additionally, academic institutions or local groups may already be aggregating police misconduct data in your jurisdiction, and a list of organizations with police accountability projects can be found online.
The National Law Enforcement Accountability Database (NLEAD) was launched on December 18, 2023, to serve as a centralized repository of official records documenting instances of law enforcement misconduct, commendations, and awards. However, it is important to note that President Donald J. Trump revoked EO 14074 on January 20, 2025, resulting in the decommissioning of the NLEAD, and agencies can no longer query or add data to it.
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Frequently asked questions
Data on law enforcement can be collected through various means, including:
- Government and third-party records: Law enforcement agencies often seek evidence of crimes in records maintained by governmental and non-governmental institutions.
- Data sharing: Law enforcement agencies can collect data by sharing information with other departments and organisations.
- Internal affairs: Many law enforcement agencies have internal affairs departments that investigate misconduct and corruption within the police force.
- Civil lawsuits: Civil rights lawsuits filed against law enforcement agencies and officers can provide insight into police misconduct.
The FBI's Uniform Crime Reporting (UCR) Program has collected crime data from law enforcement agencies across the US for nearly a century. The UCR Program manages several data collection systems, capturing different aspects of crime and incidents involving law enforcement officers, such as hate crimes and officer suicides.
The transition from paper records to computer systems and mobile data collection has modernised data collection in law enforcement. Officers can now collect, analyse, and act upon real-time data in the field. Additionally, data brokers and tech companies often sell or share consumer data with law enforcement agencies, providing access to user data such as location and purchase history.
Data on police misconduct can be found through official law enforcement data, publicly available data, and case-related data. It is important to combine sources to get a complete picture of officer conduct. Background data, such as department structure and official policies, can also provide context for understanding misconduct.











































