Evidence map›Paper›PMID 41006832›Full record

ReviewNature microbiology2025

A roadmap for equitable reuse of public microbiome data.

Laura A Hug, Roland Hatzenpichler, Cristina Moraru, André R Soares, Folker Meyer, Anke Heyder, Data Reuse Consortium, Alexander J Probst

Erratum issuedAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Biodegradation of components from an oxidized polyethylene by aApplied and environmental microbiology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Paired genomic and proteomic analysis ofMicrobiology spectrum · 2026
    Article
  7. Article
  8. Review
  9. Goals in Nutrition Science 2025-2030.Frontiers in nutrition · 2026
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Laura A Hug *Department of Biology, University of Waterloo, Waterloo, Ontario, Canada.ORCID http://orcid.org/0000-0001-5974-9428
Roland Hatzenpichler *Department of Microbiology and Cell Biology, Thermal Biology Institute, Montana State University, Bozeman, MT, USA.ORCID http://orcid.org/0000-0002-5489-3444
Cristina Moraru *Environmental Metagenomics, Research Center One Health Ruhr, University Alliance Ruhr, Faculty of Chemistry, University of Duisburg-Essen, Essen, Germany.ORCID http://orcid.org/0000-0002-5375-5437
André R Soares *Environmental Metagenomics, Research Center One Health Ruhr, University Alliance Ruhr, Faculty of Chemistry, University of Duisburg-Essen, Essen, Germany.ORCID http://orcid.org/0000-0002-5013-3034
Folker Meyer *Institute for AI in Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.ORCID http://orcid.org/0000-0003-1112-2284
Anke HeyderDepartment of Psychology, Ruhr University Bochum, Bochum, Germany.ORCID http://orcid.org/0000-0002-1578-4894
Data Reuse Consortium
Alexander J Probst *Environmental Metagenomics, Research Center One Health Ruhr, University Alliance Ruhr, Faculty of Chemistry, University of Duisburg-Essen, Essen, Germany. alexander.probst@uni-due.de.ORCID http://orcid.org/0000-0002-9392-6544

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) CTC 1439/2Deutsche Forschungsgemeinschaft (German Research Foundation) MO3498/2-1National Science Foundation (NSF) OCE-2049445
6 · The paper itself

Abstract

Science benefits from rapid open data sharing, but current guidelines for data reuse were established two decades ago, when databases were several million times smaller than they are today. These guidelines are largely unfamiliar to the scientific community, and, owing to the rapid increase in biological data generated in the past decade, they are also outdated. As a result, there is a lack of community standards suited to the current landscape and inconsistent implementation of data sharing policies across institutions. Here we discuss current sequence data sharing policies and their benefits and drawbacks, and present a roadmap to establish guidelines for equitable sequence data reuse, developed in consultation with a data consortium of 167 microbiome scientists. We propose the use of a Data Reuse Information (DRI) tag for public sequence data, which will be associated with at least one Open Researcher and Contributor ID (ORCID) account. The machine-readable DRI tag indicates that the data creators prefer to be contacted before data reuse, and simultaneously provides data consumers with a mechanism to get in touch with the data creators. The DRI aims to facilitate and foster collaborations, and serve as a guideline that can be expanded to other data types.

Indexed as

Information DisseminationMicrobiotaHumans

Identifiers

What OpenQuestion holds

Textmetadata
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.