Evidence map›Paper›PMID 42471458›Full record

ReviewCommunications biology2026

Advancing FAIR data towards comparable, organized, predictive AI-ready data for community validation.

Elisha M Wood-Charlson, Wolmar N Åkerström, Lindsey Anderson, Mikayla A Borton, Stephen K Burley, Neil Byers, Ishwar Chandramouliswaran, Sylvain V Costes, Paramvir S Dehal, Mitchel Doktycz and 21 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Communications biology, 2026. 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

31 authors.

Elisha M Wood-CharlsonEnvironmental Genomics and Systems Biology Division, E.O. Lawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID 0000-0001-9557-7715
Wolmar N ÅkerströmNBIS - National Bioinformatics Infrastructure Sweden, SciLifeLab, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-3890-6620
Lindsey AndersonPacific Northwest National Laboratory, Richland, WA, USA.ORCID 0000-0002-8741-7823
Mikayla A BortonDepartment of Food Science and Human Nutrition, Colorado State University, Fort Collins, CO, USA.
Stephen K BurleyRutgers, The State University of New Jersey, Piscataway, NJ, USA.
Neil ByersDOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Ishwar ChandramouliswaranOffice of Data Science Strategy, National Institute of Health, Bethesda, MD, USA.ORCID 0000-0001-9697-9599
Sylvain V CostesTrivedi Institute for Space and Global Biomedicine, University of Pittsburgh, Pittsburgh, PA, USA.
Paramvir S DehalEnvironmental Genomics and Systems Biology Division, E.O. Lawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID 0000-0001-5810-2497
Mitchel DoktyczBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.ORCID 0000-0003-4856-8343
Emiley Eloe-FadroshDOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID 0000-0002-8162-1276
Christopher HenryComputing, Environment, and Life Sciences Division, Argonne National Laboratory, Lemont, IL, USA.
Kjiersten FagnanDOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Oliver FiehnWest Coast Metabolomics Center, University of California, Davis, Davis, CA, USA.ORCID 0000-0002-6261-8928
Mahantesh HalappanavarPacific Northwest National Laboratory, Richland, WA, USA.ORCID 0000-0002-2323-4753
Bonnie HurwitzBIO5 Institute, The University of Arizona, Tucson, AZ, USA.
Marcin P JoachimiakEnvironmental Genomics and Systems Biology Division, E.O. Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Sean JungbluthEstuary and Ocean Science Center, San Francisco State University, Tiburon, CA, USA.
Julia KoblitzLeibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany.ORCID 0000-0002-7260-2129
Gazi MahmudEnvironmental Genomics and Systems Biology Division, E.O. Lawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID 0009-0006-4046-889X
Lee Ann McCuePacific Northwest National Laboratory, Richland, WA, USA.ORCID 0000-0003-4456-517X
Thomas O MetzPacific Northwest National Laboratory, Richland, WA, USA.ORCID 0000-0001-6049-3968
Nigel MounceyDOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID 0000-0001-5380-1256
Christopher J MungallEnvironmental Genomics and Systems Biology Division, E.O. Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Tiffanie M NelsonAustralian BioCommons, The University of Melbourne, Melbourne, Victoria, Australia.
Valerie SkyeDOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID 0000-0002-7436-3176
Amanda M Saravia-ButlerAmentum Services, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA.
V Ratna SaripalliPacific Northwest National Laboratory, Richland, WA, USA.ORCID 0000-0001-8569-4846
Susannah G TringeEnvironmental Genomics and Systems Biology Division, E.O. Lawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID 0000-0001-6479-8427
Tim Van Den BosscheDepartment of Biomolecular Medicine, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.ORCID 0000-0002-5916-2587
Adam P ArkinEnvironmental Genomics and Systems Biology Division, E.O. Lawrence Berkeley National Laboratory, Berkeley, CA, USA. aparkin@lbl.gov.ORCID 0000-0002-4999-2931

Funding

PDB Management by the Research Collaboratory for Structural BioinformaticsR01GM157729 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI STEPHEN K BURLEY · 2024 to 2026
$11.6M
A reproducible database for untargeted metabolomics data processing across laboratoriesR01GM155383 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CHARLES ROBERT EVANS, Oliver Fiehn · 2024 to 2026
$1.5M
DOE | SC | Biological and Environmental Research (BER) DE-AC02-05CH11231DOE | SC | Biological and Environmental Research (BER) DE-AC02-06CH11357DOE | SC | Biological and Environmental Research (BER) DE-AC05-00OR22725DOE | SC | Biological and Environmental Research (BER) DE-AC05-76RL01830DOE | SC | Biological and Environmental Research (BER) DE-SC0019749Leibniz Association | Leibniz-Institut für Naturstoff-Forschung und Infektionsbiologie - Hans-Knöll-Institut (Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute) K280/2019NIGMS NIH HHS R01 GM155383NIGMS NIH HHS R01 GM157729NSF | BIO | Division of Biological Infrastructure (DBI) DBI-2321666U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R01GM157729U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) R01GM157729U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) GM155383U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R01GM157729
6 · The paper itself

Abstract

The interrogation of data across biological and environmental systems has become increasingly complex. Fortunately, communities are adopting the FAIR (Findable, Accessible, Interoperable, Reusable) data principles for individual datasets, and continue to develop domain-specific, machine-actionable standards. However, integrating FAIR data for meta-analysis across data resources is still challenging. Understanding how disparate datasets are organized remains a manual, time-consuming process. Updating FAIR databases to reflect changes in knowledge is slow, allowing stale annotations and incorrect relationships to propagate, amplified by Artificial Intelligence (AI) systems that harvest data. Building on FAIR, we argue that data should be iteratively updated and improved. FAIR + COPE (Comparable, Organized, Predictive, Engaged) takes FAIR data and makes it Comparable, rapidly Organized (applying / updating standards) for Predictive models, which can be validated and improved by an Engaged community. We provide examples of FAIR + COPE resources and science use cases that highlight the importance of FAIR + COPE in scientific research.

Indexed as

Artificial IntelligenceDatabases, Factual

Identifiers

PMID42471458
PMCPMC13380610

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.