Evidence map›Paper›PMID 39331485›Full record

ArticleTranslational behavioral medicine2024

Designing for data sharing: Considerations for advancing health equity in data management and dissemination.

Borsika A Rabin, Justin D Smith, Emily V Dressler, Deborah J Cohen, Rebekka M Lee, Melody S Goodman, Heather D'Angelo, Wynne E Norton, April Y Oh

Abstract read
In one paragraph

Article in Translational behavioral medicine, 2024. 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

9 authors.

Borsika A RabinHerbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA.
Justin D SmithDepartment of Population Health Sciences, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA.
Emily V DresslerDivision of Public Health Sciences, Department of Biostatistics and Data Science, School of Medicine, Wake Forest University, Winston-Salem, NC, USA.
Deborah J CohenDepartment of Family Medicine, Oregon Health & Science University, Portland, OR, USA.
Rebekka M LeeHarvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
Melody S GoodmanSchool of Global Public Health, New York University, New York, NY, USA.
Heather D'AngeloDivision of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA.
Wynne E NortonDivision of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA.
April Y OhDivision of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA.

Funding

Research ProgramP50CA244289 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI GOLD, RACHEL · 2019 to 2023
$7.6M
NCI NIH HHS P50 CA244289
6 · The paper itself

Abstract

Data sharing, the act of making scientific research data available to others, can accelerate innovation and discoveries, and ultimately enhance public health. The National Cancer Institute Implementation Science Centers in Cancer Control convened a diverse group of research scientists, practitioners, and community partners in three interactive workshops (May-June 2022) to identify and discuss factors that must be considered when designing research for equitable data sharing with a specific emphasis on implementation science and social, behavioral, and population health research. This group identified and operationalized a set of seven key considerations for equitable data sharing-conceptualized as an inclusive process that fairly includes the perspectives and priorities of all partners involved in and impacted by data sharing, with consideration of ethics, history, and benefits-that were integrated into a framework. Key data-sharing components particularly important for health equity included: elevating data sharing into a core research activity, incorporating diverse perspectives, and meaningfully engaging partners in data-sharing decisions throughout the project lifecycle. As the process of data sharing grows in research, it is critical to continue considering the potential positive and adverse impact of data sharing on diverse beneficiaries of health data and research.

Indexed as

Data ManagementHealth EquityInformation DisseminationHumansImplementation ScienceResearch DesignUnited Statescommunity engagementdata sharinghealth equityimplementation scienceNCIpopulation health

Identifiers

PMID39331485
PMCPMC11568841

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.