Unique ID: 2015111

Division: Office of Information and Regulatory Affairs
Issue Date: February 13th 2019
Last modified: February 22nd 2019

Arrest-Related Deaths: using Google Alerts and direct survey methods to measure arrest-related deaths

Using Google Alerts and direct survey methods to measure arrest-related deaths

The project uses a combination of open source (e.g., Google Alerts) and direct survey methods to capture all deaths that occur in contact with police officers. The project is a pilot test that runs from June 2015 through December 2015 in which the open source data will be used to nominate events that will be verified and confirmed through direct survey with police agencies, medical examiners' offices, and State bureaus of investigation.

Project Objective:

Exploration, Pilot intended to go to production to improve timeliness, Scientific / research

Project Outcomes:

Methodological papers on the effort, and recommendations about how to establish a nationwide system based on the method.

Statistical Area


Project Sources
Project Sources
Type Of Institution: National statistical office
Big Data Source: Other
Region: North America
Country Area: United States
Id Country Regional: country
Other Partners: Research or academic institute
Accessing Data
Accessing Data
Data Access Rights: Only for this project
Intermediary Comments: We use a contractor to do the Web searches/scraping and to conduct the follow-up surveys.
Data Coverage
Data Coverage
Data Coverage: Only a portion of all data
Coverage Geo Pop: Part of country / high % of market
Coverage Period: June 2015-December 2015
Data Quality
Data Quality
Quality Framework: Quality of processing/throughput
Quality Aspects Evaluated: Privacy and Security, Completeness, Usability, Time Factors, Validity, Accuracy, including selectivity
Validation Comments: We are validating the open source data through direct survey of various agencies.
Data Quality Concerns Comments: We are concerned that open source records of homicides by law enforcement officers may be incorrect, incomplete, or inaccurate. We are following up on each potential case with direct survey of various agencies to confirm the results.
Data Quality Concerns:
Methods Used: Traditional statistical methods, Supervised learning
Technologies: Relational database
Income Level: High-income
Iso: US
Timeframe To Produce Indicator: NA
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