Evidence map›Paper›PMID 41445711›Full record

ArticleJournal of clinical and translational science2025

Structured Data Management and Sharing Plan (DMSP) templates outperformed non-structured ones in an institutional implementation of the NIH Data Management and Sharing (DMS) policy.

Muayad Hamidi, Manju Bikkanuri, Camille Scott, Monica Carrizal, Mari Martinez, Andrea N Schorr, Liu Qianqian, Jonathan Gelfond, Joseph Schmelz, Jennifer Potter and 1 more

Abstract read
In one paragraph

Article in Journal of clinical and translational science, 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

11 authors.

Muayad HamidiUniversity of Texas at San Antonio (UTSA), San Antonio, TX, USA.ORCID https://orcid.org/0009-0005-9825-4993
Manju BikkanuriUniversity of Texas at San Antonio (UTSA), San Antonio, TX, USA.
Camille ScottUniversity of Texas at San Antonio (UTSA), San Antonio, TX, USA.
Monica CarrizalUniversity of Texas at San Antonio (UTSA), San Antonio, TX, USA.
Mari MartinezUniversity of Texas at San Antonio (UTSA), San Antonio, TX, USA.
Andrea N SchorrUniversity of Texas at San Antonio (UTSA), San Antonio, TX, USA.
Liu QianqianUniversity of Texas at San Antonio (UTSA), San Antonio, TX, USA.
Jonathan GelfondUniversity of Texas at San Antonio (UTSA), San Antonio, TX, USA.
Joseph SchmelzUniversity of Texas at San Antonio (UTSA), San Antonio, TX, USA.
Jennifer PotterUniversity of Texas at San Antonio (UTSA), San Antonio, TX, USA.
Meredith ZozusUniversity of Texas at San Antonio (UTSA), San Antonio, TX, USA.

Funding

Institute for Integration of Medicine & Science: A Partnership to Improve HealthUM1TR004538 · NCATS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI ROBERT A CLARK, Kenneth M Hargreaves · 2023 to 2026
$22.3M
San Antonio OAIC - Research Education Component (REC)P30AG044271 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Adam Salmon, Elena Volpi · 2015 to 2026
$14.1M
NCATS NIH HHS UM1 TR004538NIA NIH HHS P30 AG044271
6 · The paper itself

Abstract

Introduction: The National Institutes of Health Data Management and Sharing (DMS) policy (NOT-OD-21-013) mandates the submission of a Data Management and Sharing Plan (DMSP) for all NIH-funded research that generates scientific data. However, little information is available about how academic medical centers have implemented the policy. Objectives: The study aimed to characterize our institution's implementation of the DMS policy and compare structured versus unstructured approaches to producing policy-conformant DMSPs. Methods: We monitored all NIH grant submissions from our institution for 18 months, evaluating policy implementation through DMSP completeness and reviewer comments during the Just-in-Time period. A rubric was developed to assess whether each required DMSP element and sub-element was addressed. Eight DMSP templates (three NIH-provided, five institutionally developed) and two categories of investigator-created DMSPs were scored. Researchers' feedback was collected through surveys and interviews. Results: 79.3% of submitted DMSPs addressed all NIH-required DMSP elements. Element-level compliance ranged from 98.9% (data type) to 82.7% (tools and software). Sub-element scores showed greater variability, with 98.9% completion for data description and 49.3% for data generation. Unstructured DMSPs consistently underperformed compared to structured DMSPs. Survey and interview feedback, along with reviewer comments, reinforced these findings. Conclusion: A notable 20.7% of DMSPs omitted one or more required elements, indicating a need for improved DMS policy conformance. Structured DMSP templates demonstrated greater alignment with NIH policy. We recommend using structured templates to enhance the quality and consistency of data management and sharing plans.

Indexed as

DMSPDMS policyNIHNOT-OD-21-013structured DMSP templates

Identifiers

PMID41445711
PMCPMC12722062

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.