Evidence map›Paper›PMID 40130011›Full record

ArticleFrontiers in bioinformatics2025

A standards perspective on genomic data reusability and reproducibility.

Ishi Keenum, Scott A Jackson, Emiley Eloe-Fadrosh, Lynn M Schriml

Abstract read
In one paragraph

Article in Frontiers in bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

4 authors.

Ishi KeenumDepartment of Civil, Environmental, and Geospatial Engineering, Michigan Technological University, Houghton, MI, United States.
Scott A JacksonComplex Microbial Systems Group, National Institute of Standards and Technology, Gaithersburg, MD, United States.
Emiley Eloe-FadroshLawrence Berkeley National Laboratory, Environmental Genomics and Systems Biology Division, Berkeley, CA, United States.
Lynn M SchrimlInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, United States.

Funding

The Human Disease Ontology: An integrated, mechanistic knowledge resource for biomedical research.U24HG012557 · NHGRI · UNIVERSITY OF MARYLAND BALTIMORE · PI Lynn Marie Schriml · 2022 to 2026
$3.7M
NHGRI NIH HHS U24 HG012557
6 · The paper itself

Abstract

Genomic and metagenomic sequence data provides an unprecedented ability to re-examine findings, offering a transformative potential for advancing research, developing computational tools, enhancing clinical applications, and fostering scientific collaboration. However, effective and ethical reuse of genomics data is hampered by numerous technical and social challenges. The International Microbiome and Multi'Omics Standards Alliance (IMMSA, https://www.microbialstandards.org/) and the Genomic Standards Consortium (GSC, https://gensc.org) hosted a 5-part seminar series "A Year of Data Reuse" in 2024 to explore challenges and opportunities of data reuse and reproducibility across disparate domains of the genomic sciences. Addressing these challenges will require a multifaceted approach, including common metadata reporting, clear communication, standardized protocols, improved data management infrastructure, ethical guidelines, and collaborative policies that prioritize transparency and accessibility. We offer strategies to enable responsible and technically feasible data reuse, recognition of data reproducibility challenges, and emphasizing the importance of cross-disciplinary efforts in the pursuit of open science and data-driven innovation.

Indexed as

AIgenomicsmetagenomicsreproducibilityreusestandards

Identifiers

PMID40130011
PMCPMC11931119

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.