Evidence map›Paper›PMID 40239625›Full record

ArticleCell reports. Medicine2025

Balancing ethical data sharing and open science for reproducible research in biomedical data science.

Dmitrijs Lvovs, Allison L Creason, Stuart S Levine, Michael Noble, Anup Mahurkar, Owen White, Elana J Fertig

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell reports. Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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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

7 authors.

Dmitrijs LvovsInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA; Department of Medicine, Division of Hematology/Oncology, University of Maryland School of Medicine, Baltimore, MD, USA.
Allison L CreasonKnight Cancer Institute, Oregon Health Science University, Portland, OR, USA; Biomedical Engineering Department, Oregon Health & Science University, Portland, OR, USA.
Stuart S LevineBioMicro Center, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
Michael NobleBreak Through Cancer, Cambridge, MA, USA.
Anup MahurkarInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA; University of Maryland - Institute for Health Computing, Bethesda, MD, USA.
Owen WhiteInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
Elana J FertigInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA; Department of Medicine, Division of Hematology/Oncology, University of Maryland School of Medicine, Baltimore, MD, USA; University of Maryland - Institute for Health Computing, Bethesda, MD, USA; Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD, USA. Electronic address: ejfertig@som.umaryland.edu.

Funding

The MIT Superfund Research Program: A Systems Approach for the Protection of Human Health from Hazardous ChemicalsP42ES027707 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Stuart S Levine · 2017 to 2026
$22.2M
An atlas of pancreatic tumorigenesis in the context of altered DNA repair occurring in high-risk individualsU01CA294548 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI BRODY, JONATHAN, FERTIG, ELANA · 2024 to 2025
$5.1M
Single-cell and imaging data integration software to spatially resolve the tumor microenvironmentU01CA253403 · NCI · JOHNS HOPKINS UNIVERSITY · PI FERTIG, ELANA · 2020 to 2022
$1.2M
NCI NIH HHS U01 CA253403NCI NIH HHS U01 CA294548NIEHS NIH HHS P42 ES027707
6 · The paper itself

Abstract

Analyses of large-scale health data in biomedical data science can help uncover new treatments and deepen our understanding of disease and fundamental biology. Here we examine the balance between ethical and responsible data sharing and open science practices that are essential for reproducible research in biomedical data science.

Indexed as

Biomedical ResearchData ScienceInformation DisseminationHumansReproducibility of Results

Identifiers

PMID40239625
PMCPMC12047515

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.