Sources of gene expression variation in a globally diverse human cohort is a dataset published in Nature (2024). On theSindex it has a DataRank of 1.5, placing it in the top 13.8% of the data-sharing corpus. It has been cited 72 times, with 69 citing works in its 1-hop citation network. Its calibrated FAIR score is 71/100.
Ranks in the top 14% 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.
“https://doi.org/10.5281/zenodo.10535719”
The paper provides a DOI for the processed data, which is a persistent identifier scheme.
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'
“Newly generated RNA-seq data for the 731 individuals (779 total libraries) are available from the Sequence Read Archive (accession: PRJNA851328)”
The paper names the Sequence Read Archive (SRA) as a repository, which is a curated archive listed in re3data/FAIRsharing.
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
“Newly generated RNA-seq data for the 731 individuals (779 total libraries) are available from the Sequence Read Archive (accession: PRJNA851328).”
The dataset identifier appears only in the body text (data availability statement), not in the reference list. [majority verdict 'partial' (2/4 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
“Newly generated RNA-seq data for the 731 individuals (779 total libraries) are available from the Sequence Read Archive (accession: PRJNA851328). Processed gene expression matrices and QTL mapping results are available from Zenodo (https://doi.org/10.5281/zenodo.10535719).”— not found in the paper; verdict downgraded
The statement points to repository records with accessions (Colavizza category 3). [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (2/4 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
“We performed RNA-seq of LCLs from 731 individuals from the 1000 Genomes Project6 (1KGP), which represented 26 globally distributed populations (27–30 individuals per population) across 5 continental groups.”— not found in the paper; verdict downgraded
The dataset content is described in running prose (sample size, populations) but there is no itemised inventory of files or variables. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (3/4 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'
“Newly generated RNA-seq data for the 731 individuals (779 total libraries) are available from the Sequence Read Archive (accession: PRJNA851328). Processed gene expression matrices and QTL mapping results are available from Zenodo (https://doi.org/10.5281/zenodo.10535719)”
The data availability statement gives direct repository access with no precondition, and the abstract calls it 'open-access'. [majority verdict 'yes' (3/4 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
“we developed MAGE, an open-access RNA sequencing dataset”
The paper explicitly labels the MAGE dataset as 'open-access' in the abstract, which is a standard access-level label. [majority verdict 'yes' (3/4 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 from human subjects but are openly accessible with no gatekeeper named; the paper states the work was deemed not human subjects research and access is open.
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
No sentence in the paper states how long the data will be retained or when they become available beyond the current publication. [majority verdict 'no' (2/4 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; the raw data are in SRA (format not specified) and processed matrices are not described by format.
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
“We quantified gene expression levels using gene annotations from GENCODE (v.38)”
GENCODE is a community-standard gene annotation resource, i.e., a data standard. [majority verdict 'yes' (3/4 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'
“Compared with GTEx (dbGaP accession: phs000424.v9.p2)”
The paper provides a qualified reference to an external dataset (GTEx) via its dbGaP accession.
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 licence for the data is stated; the CC BY 4.0 licence applies only to the article text, not the dataset.
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'
“MAGE: Multi-ancestry Analysis of Gene Expression v1.0”
The dataset is referred to with a version token 'v1.0' in the reference-list entry.
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'
“available on GitHub (https://github.com/mccoy-lab/MAGE) and archived on Zenodo (https://doi.org/10.5281/zenodo.10072080)”
The paper gives both a code repository URL and an archive DOI for the code, which are machine-resolvable locators.
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)
“R35GM133747”
A specific NIH grant number (R35GM133747) is listed in the Acknowledgements.
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
The paper does not name the specific sequencing instrument, platform, or kit used to generate the RNA-seq data; only software tools are named for analysis. [majority verdict 'no' (2/4 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
No README, data dictionary, or codebook is named as accompanying the data; variable definitions are not provided inside the article either.
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
0.644
From this paper's citation signal
Citation Network Contribution
0.855
From 43 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 69 citers.
NHGRI NIH HHS
Grant: F31 HG012495
NHGRI NIH HHS
Grant: R35 HG011944
NIH HHS
Grant: OT2 OD034190
NIGMS NIH HHS
Grant: R35 GM139580
NHGRI NIH HHS
Grant: F31 HG012900
NIGMS NIH HHS
Grant: R35 GM133747
National Institutes of Health
Grant: 5R35HG011944-03
The influence of genetic ancestry and population-specific epidemiology on the transferability of genomic findings to diverse and admixed populations
National Institutes of Health
Grant: 5R35GM133747-07
Function and fitness consequences of human genetic variation
National Institutes of Health
Grant: 5F31HG012495-02
Investigating the role of structural variation in hominin evolution.
National Institutes of Health
Grant: 5F31HG012900-02
Uncovering sources of human gene expression variation in a globally diverse cohort
National Institutes of Health
Grant: 5R35GM139580-05
Modeling the dynamicimpact of rare and common genetic variation on gene expression anddisease
National Institutes of Health
Grant: 3OT2OD034190-01S1
NIH Cloud Platform Interoperability Administrative Coordinating Center
FWCI
28.63
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals