Evidence map›Paper›PMID 42569779›Full record

ArticleData science journal2025

Information Needs and Data Harmonization-Two Sides of the Same Coin?

A J Million, Jenny Bossaller, Sanja Gidakovic

Abstract read
In one paragraph

Article in Data science journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

A J MillionUniversity of Michigan, Inter-university Consortium for Political and Social Research, Ann Arbor, MI, USA.ORCID 0000-0002-8909-153X
Jenny BossallerUniversity of Missouri, School of Information Science & Learning Technologies, Columbia, MO, USA.ORCID 0000-0001-5732-897X
Sanja GidakovicUniversity of Missouri, School of Information Science & Learning Technologies, Columbia, MO, USA.ORCID 0000-0001-5078-6281

Funding

University of Michigan Multi-disciplinary Coordinating Center for the Community Firearm Injury Prevention NetworkU24HD111315 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CARTER, PATRICK M., ZIMMERMAN, MARC A · 2022 to 2025
$9.4M
NICHD NIH HHS U24 HD111315
6 · The paper itself

Abstract

This article reports on a quality improvement project aimed at supporting the Community Firearm Violence Prevention (CFVP) network at the University of Michigan in the U.S. We examine the information and data needs of researchers in public health, medicine, and criminal justice. Semi-structured interviews with CFVP affiliates and researchers confirm the existence of significant limitations in existing datasets and resources to conduct firearm-violence prevention research. Study participants discussed (1) the infrastructure and research support that would improve their productivity; (2) benefits of using and combining datasets, (3) challenges when accessing data, and (4) data collection and harmonization strategies that increase research impact. We present findings highlighting data-related challenges in this space that concern researchers, data scientists, and policymakers. We conclude that researchers' information needs and data harmonization initiatives are interrelated phenomena. Our observation carries implications for large-scale data harmonization efforts in the social and behavioral sciences.

Indexed as

data harmonizationfirearm-injury preventioninformation needs

Identifiers

PMID42569779
PMCPMC13451041

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.