The HuMet Repository: Watching human metabolism at work is a dataset published in Cell Reports (2024). On theSindex it has a DataRank of 0.307, placing it in the top 54.3% of the data-sharing corpus. It has been cited 5 times, with 4 citing works in its 1-hop citation network. Its calibrated FAIR score is 58/100.
Ranks in the top 54% for downstream scientific impact
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Full FAIR picture · advisory
The headline score is computed from the scored criteria — the fact-shaped checks (a repository, an accession, a licence) that two independent models agree on. The advisory criteria below are real FAIR guidance but rest on judgment calls that models read differently, so they inform without moving the number.
The paper provides a MetaboLights accession (MTBLS89), which is a persistent identifier scheme. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (4/5 passes agreed)]
RDA-F1-01D — FAIR Data Maturity Model: 'Data is identified by a persistent identifier' (priorit · RDA-F1-02D — FAIR Data Maturity Model: 'Data is identified by a globally unique identifier' · FsF-F1-02D — F-UJI/FAIRsFAIR: 'Data is assigned a persistent identifier'
“Non-targeted metabolomics data have been deposited at MetaboLights”
The data repository MetaboLights is named as the holder. [majority verdict 'yes' (4/5 passes agreed)]
RDA-F4-01M — FAIR Data Maturity Model: metadata is offered so it can be harvested and indexed ( · NIH DMS Policy Element 4 (NOT-OD-21-014) — name the repository where data will be archived · NSTC Desirable Characteristics of Data Repositories (2022) — 'Long-Term Sustainability', 'Reten
“MetaboLights: MTBLS89”
The dataset identifier appears only in the key resources table (body text), not as a reference-list entry. [majority verdict 'partial' (3/5 passes agreed)]
FORCE11 Joint Declaration of Data Citation Principles (2014) — data should be cited as a first- · RDA-F3-01M — metadata clearly and explicitly includes the identifier of the data it describes · FsF-F3-01M — F-UJI: 'Metadata includes the identifier of the data it describes'
Advisory · not in the published score
The DAS explicitly points to a repository record (MetaboLights) with an accession number. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (4/5 passes agreed)]
Colavizza, Hrynaszkiewicz, Staden, Whitaker & McGillivray (2020), 'The citation advantage of li · Springer Nature research data policy — Data Availability Statements: standard statement templat · RDA-F3-01M — metadata clearly and explicitly includes the identifier of the data it describes
“Table 1. Overview of metabolomics data provided within the HuMet Repository”
An itemised inventory of the dataset is provided in Table 1. [majority verdict 'yes' (4/5 passes agreed)]
RDA-F2-01M — 'Rich metadata is provided to allow discovery' (priority Essential) · FsF-F2-01M — F-UJI: 'Metadata includes descriptive core elements to support data findability' · FsF-R1-01MD — F-UJI: 'Metadata specifies the content of the data'
“Non-targeted metabolomics data have been deposited at MetaboLights and are publicly available as of the date of publication.”
The text gives a route to the data with no stated precondition. [majority verdict 'yes' (4/5 passes agreed)]
RDA-A1.1-01D — 'Data is accessible through a free access protocol' · FsF-A1-01M — F-UJI: 'Metadata contains access level and access conditions of the data' · NSTC Desirable Characteristics of Data Repositories (2022) — 'Free and Easy Access'
Advisory · not in the published score
“publicly available”
The paper states that the data are publicly available, which is an explicit access-level label. [majority verdict 'yes' (4/5 passes agreed)]
FsF-A1-01M — F-UJI: 'Metadata contains access level and access conditions of the data' · RDA-A1-01M — metadata contains information to enable the user to get access to the data · COAR Controlled Vocabularies — Access Rights v1.0 (open / embargoed / restricted / metadata-onl
The data are openly accessible with no gatekeeper named; no institutional or personal gatekeeper is mentioned.
NIH Genomic Data Sharing Policy (NOT-OD-14-124) — controlled-access via a Data Access Committee · RDA-A1.2-01D — 'Data is accessible through an access protocol that supports authentication and · NIH DMS Policy Element 5 (NOT-OD-21-014) — Access, Distribution, or Reuse Considerations (conse
“publicly available as of the date of publication”
Only availability timing is stated; no persistence commitment is given. [majority verdict 'partial' (4/5 passes agreed)]
NIH DMS Plan Element 4 (NOT-OD-21-014) — Data Preservation, Access, and Associated Timelines · NSTC Desirable Characteristics (2022), Organizational Infrastructure: 'Retention Policy' · RDA-A2-01M — 'Metadata is guaranteed to remain available after data is no longer available'
No file format is named for the released data.
FsF-R1.3-02D — F-UJI: 'Data is available in a file format recommended by the target research co · RDA-R1.3-02D — data is expressed in a machine-understandable community standard · RDA-I1-01D — data uses a knowledge representation expressed in a standardised format
Advisory · not in the published score
No community data or metadata standard is explicitly named for the dataset. [majority verdict 'no' (3/5 passes agreed)]
RDA-R1.3-01M — 'Metadata complies with a community standard' (priority Essential) · RDA-R1.3-01D — 'Data complies with a community standard' · RDA-I2-01M — '(Meta)data use vocabularies that follow FAIR principles'
“https://doi.org/10.5281/zenodo.12758689”
The code repository DOI is a qualified reference to an external resource. [majority verdict 'yes' (4/5 passes agreed)]
RDA-I3-01M — '(meta)data include references to other (meta)data' · RDA-I3-03M — 'metadata includes qualified references to other metadata' · FsF-I3-01M — F-UJI: 'Metadata includes links between the data and its related entities'
No license is stated for the data; the article's CC BY license does not apply to the data.
RDA-R1.1-01M — 'Metadata includes information about the licence under which the data can be reu · RDA-R1.1-02M — 'Metadata refers to a standard reuse licence' · RDA-R1.1-03M — 'Metadata refers to a machine-understandable reuse licence'
No version token or specific date is given for the data snapshot. [majority verdict 'no' (4/5 passes agreed)]
DataCite Metadata Schema 4.6 — the 'Version' property · RDA-R1.2-01M — provenance information (which version was used is provenance) · NSTC Desirable Characteristics of Data Repositories (2022) — 'Provenance', 'Retention Policy'
“https://github.com/SystemsMetabolomics/HuMet-Rep; https://doi.org/10.5281/zenodo.12758689”
A machine-resolvable locator (GitHub URL and Zenodo DOI) is provided for the code. [majority verdict 'yes' (3/5 passes agreed)]
NIH DMS Policy Element 2 (NOT-OD-21-014) — 'Related Tools, Software and/or Code' · FAIR4RS Principles v1.0 (Chue Hong et al., 2022; RDA/FORCE11/ReSA) — FAIR Principles for Resear · FORCE11 Software Citation Principles (Smith, Katz & Niemeyer, 2016, PeerJ CS 2:e86)
“RF1AG057452”
Grant numbers are given for the funding. [majority verdict 'yes' (3/5 passes agreed)]
DataCite Metadata Schema 4.6 — 'FundingReference' property (funderName, funderIdentifier, award · Crossref Funder Registry — canonical funder identifiers for funding metadata · RDA-F2-01M — rich metadata provided to allow discovery (funding is part of the descriptive reco
Advisory · not in the published score
“Waters ACQUITY UPLC and a Thermo Scientific Q-Exactive high resolution/accurate mass spectrometer”
Specific instruments used for data production are named. [majority verdict 'yes' (4/5 passes agreed)]
RDA-R1.2-01M — 'Metadata includes provenance information according to community- specific standa · FsF-R1.2-01M — F-UJI: 'Metadata includes provenance information about data creation or generati · W3C PROV-O (W3C Recommendation, 2013) — the entity/activity/agent model of provenance
Table S1 provides metabolite descriptions inside the article, but no documentation object is stated to accompany the data. [downgraded to 'no' — no verifiable quote from the paper]
RDA-R1-01M — '(Meta)data are richly described with a plurality of accurate and relevant attribu · FsF-R1-01MD — F-UJI: 'Metadata specifies the content of the data' · NIH DMS Policy Element 3 (NOT-OD-21-014) — Standards (documentation and metadata to accompany t
Calibrated FAIR score — a parallel quality metric, independent of the DataRank citation score. See the full evaluation →
Base Score Contribution
0.269
From this paper's citation signal
Citation Network Contribution
0.0385
From 3 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 4 citers.
National Institute on Aging
Grant: U01AG061359
National Institute on Aging
Grant: RF1AG057452
National Institute on Aging
Grant: RF1AG059093
National Institute on Aging
Grant: RF1AG058942
National Institute on Aging
Grant: R01AG069901
National Institute on Aging
Grant: U19AG063744
National Institute on Aging
Grant: 01ZX1912D
Bundesministerium für Bildung und Forschung
Grant: 031A537C
Bundesministerium für Bildung und Forschung
Grant: 031A537D
Bundesministerium für Bildung und Forschung
Grant: 031A537B
Bundesministerium für Bildung und Forschung
Grant: 031A533B
Bundesministerium für Bildung und Forschung
Grant: 031A537A
Bundesministerium für Bildung und Forschung
Grant: 031A533A
Bundesministerium für Bildung und Forschung
Grant: 031A535A
Bundesministerium für Bildung und Forschung
Grant: 031A538A
Bundesministerium für Bildung und Forschung
Grant: 031A532B
Bundesministerium für Bildung und Forschung
Grant: 031A534A
National Institutes of Health
Grant: 1RF1AG059093-01
Metabolic Networks and Pathways Predictive of Sex Differences in AD Risk and Responsiveness to Treatment
National Institutes of Health
Grant: 1RF1AG057452-01
Metabolic Network Analysis of Biochemical Trajectories in Alzheimer's Disease
National Institutes of Health
Grant: 1RF1AG058942-01
Gut Liver Brain Biochemical Axis in Alzheimer's Disease
National Institutes of Health
Grant: 5U19AG063744-02
Alzheimer's Gut Microbiome Project
National Institutes of Health
Grant: 3U01AG061359-05S1
Characterizing the AD Metabolome in Brain Tissue Samples of Individuals from Diverse Populations
National Institutes of Health
Grant: 5R01AG069901-03
TargetAD: A systems multi-omics approach to drug repositioning in Alzheimer's disease
Qatar Foundation
Else Kroner-Fresenius Foundation
National Institutes of Health
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