Evidence map›Paper›PMID 40032895›Full record

ArticleScientific data2025

DM-FS: A Comprehensive Database on Death-Modulated Fatal Shootings.

Jacob Verrey

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Jacob VerreyCantab. Institute of Criminology, University of Cambridge, Sidgwick Ave, Cambridge, CB3 9DA, UK. jjv31@cam.ac.uk.ORCID http://orcid.org/0000-0002-1790-0748

Funding

RCUK | Economic and Social Research Council (ESRC) ES/J500033/1
6 · The paper itself

Abstract

In the USA, officers and civilians engage in fatal encounters, situations in which a member of one group is slain at the hands of the other. Research on fatal encounters spans disciplines and can save lives, yet it tends to draw from databases that may be partial, unidirectional, and contain methodological differences. To remedy these issues, we propose a database on Death-Modulated Fatal Shootings (DM-FS). DM-FS makes five substantial contributions, and we highlight three. First, DM-FS is bidirectional. It is one of the few databases that enable the empirical exploration of how death in one group, police, affects deaths in another, fatally shot civilians and vice-versa. Second, DM-FS is comprehensive. It contains the entire universe of applicable agencies between January 1, 2015, and December 31, 2020. Third, it may be less partial than the status quo. Its rigorous validation procedures detected and corrected discrepancies between existing databases of fatally shot civilians: Fatal Encounters, Mapping Police Violence, Washington Post. DM-FS use cases are explored, such as in policymaking, modeling, and psychology.

Indexed as

Databases, FactualHomicideWounds, GunshotHumansPoliceUnited States

Identifiers

PMID40032895
PMCPMC11876296

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.