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DM-FS: A Comprehensive Database on Death-Modulated Fatal Shootings
1Cantab. Institute of Criminology, University of Cambridge, Sidgwick Ave, Cambridge, CB3 9DA, UK. jjv31@cam.ac.uk.
Scientific Data
|March 3, 2025
Summary
A new Death-Modulated Fatal Shootings (DM-FS) database offers a comprehensive, bidirectional view of fatal encounters between police and civilians in the USA. This validated resource aims to improve research accuracy and inform policy.
Area of Science:
- Criminology
- Public Health
- Sociology
Background:
- Fatal encounters between police and civilians are a critical issue in the USA.
- Existing databases are often partial, unidirectional, and lack methodological consistency, hindering accurate research.
Purpose of the Study:
- To introduce the Death-Modulated Fatal Shootings (DM-FS) database.
- To address limitations in existing data sources for fatal encounters.
- To provide a comprehensive and bidirectional dataset for empirical research.
Main Methods:
- Developed the Death-Modulated Fatal Shootings (DM-FS) database covering January 1, 2015, to December 31, 2020.
- Implemented rigorous validation procedures to correct discrepancies found in existing databases (Fatal Encounters, Mapping Police Violence, Washington Post).
- Ensured the database is bidirectional, capturing data on both police and civilian deaths in fatal encounters.
Main Results:
- The DM-FS database offers a comprehensive dataset of fatal shootings involving police and civilians.
- It provides a bidirectional perspective, enabling analysis of the reciprocal impact of deaths between these groups.
- Validation processes identified and corrected significant discrepancies present in prior data sources.
Conclusions:
- The DM-FS database represents a substantial advancement in the study of fatal encounters.
- Its comprehensive and bidirectional nature enhances research validity and potential for life-saving insights.
- This resource can inform policymaking, psychological studies, and predictive modeling related to fatal shootings.
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