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“Using Crowd-Sourced Data to Explore Police-Related-Deaths in the United States (2000–2017): The Case of Fatal Encounters”
OBJECTIVES: We evaluated the Fatal Encounters (FE) database as an open-source surveillance system for tracking police-related deaths (PRDs). METHODS: We compared the coverage of FE data to several known government sources of police-related deaths and police homicide data. We also replicated incident...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10109543/ https://www.ncbi.nlm.nih.gov/pubmed/37073367 http://dx.doi.org/10.5334/ohd.30 |
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author | Finch, Brian Karl Beck, Audrey Burghart, D. Brian Johnson, Richard Klinger, David Thomas, Kyla |
author_facet | Finch, Brian Karl Beck, Audrey Burghart, D. Brian Johnson, Richard Klinger, David Thomas, Kyla |
author_sort | Finch, Brian Karl |
collection | PubMed |
description | OBJECTIVES: We evaluated the Fatal Encounters (FE) database as an open-source surveillance system for tracking police-related deaths (PRDs). METHODS: We compared the coverage of FE data to several known government sources of police-related deaths and police homicide data. We also replicated incident selection from a recent review of the National Violent Death Reporting System. RESULTS: FE collected data on n = 23,578 PRDs from 2000–2017. A pilot study and ongoing data integration suggest greater coverage than extant data sets. Advantages of the FE data include circumstance of death specificity, incident geo-locations, identification of involved police-agencies, and near immediate availability of data. Disadvantages include a high rate of missingness for decedent race/ethnicity, potentially higher rates of missing incidents in older data, and the exclusion of more comprehensive police use-of-force and nonlethal use-of-force data—a critique applicable to all extant data sets. CONCLUSIONS: FE is the largest collection of PRDs in the United States and remains as the most likely source for historical trend comparisons and police-department level analyses of the causes of PRDs. |
format | Online Article Text |
id | pubmed-10109543 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
record_format | MEDLINE/PubMed |
spelling | pubmed-101095432023-04-17 “Using Crowd-Sourced Data to Explore Police-Related-Deaths in the United States (2000–2017): The Case of Fatal Encounters” Finch, Brian Karl Beck, Audrey Burghart, D. Brian Johnson, Richard Klinger, David Thomas, Kyla Open Health Data Article OBJECTIVES: We evaluated the Fatal Encounters (FE) database as an open-source surveillance system for tracking police-related deaths (PRDs). METHODS: We compared the coverage of FE data to several known government sources of police-related deaths and police homicide data. We also replicated incident selection from a recent review of the National Violent Death Reporting System. RESULTS: FE collected data on n = 23,578 PRDs from 2000–2017. A pilot study and ongoing data integration suggest greater coverage than extant data sets. Advantages of the FE data include circumstance of death specificity, incident geo-locations, identification of involved police-agencies, and near immediate availability of data. Disadvantages include a high rate of missingness for decedent race/ethnicity, potentially higher rates of missing incidents in older data, and the exclusion of more comprehensive police use-of-force and nonlethal use-of-force data—a critique applicable to all extant data sets. CONCLUSIONS: FE is the largest collection of PRDs in the United States and remains as the most likely source for historical trend comparisons and police-department level analyses of the causes of PRDs. 2019 2019-05-07 /pmc/articles/PMC10109543/ /pubmed/37073367 http://dx.doi.org/10.5334/ohd.30 Text en https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Finch, Brian Karl Beck, Audrey Burghart, D. Brian Johnson, Richard Klinger, David Thomas, Kyla “Using Crowd-Sourced Data to Explore Police-Related-Deaths in the United States (2000–2017): The Case of Fatal Encounters” |
title | “Using Crowd-Sourced Data to Explore Police-Related-Deaths in the United States (2000–2017): The Case of Fatal Encounters” |
title_full | “Using Crowd-Sourced Data to Explore Police-Related-Deaths in the United States (2000–2017): The Case of Fatal Encounters” |
title_fullStr | “Using Crowd-Sourced Data to Explore Police-Related-Deaths in the United States (2000–2017): The Case of Fatal Encounters” |
title_full_unstemmed | “Using Crowd-Sourced Data to Explore Police-Related-Deaths in the United States (2000–2017): The Case of Fatal Encounters” |
title_short | “Using Crowd-Sourced Data to Explore Police-Related-Deaths in the United States (2000–2017): The Case of Fatal Encounters” |
title_sort | “using crowd-sourced data to explore police-related-deaths in the united states (2000–2017): the case of fatal encounters” |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10109543/ https://www.ncbi.nlm.nih.gov/pubmed/37073367 http://dx.doi.org/10.5334/ohd.30 |
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