Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Whole genome sequence association analysis of fasting glucose and fasting insulin levels in diverse cohorts from the NHLBI TOPMed program

Communications Biology(2022)10.1038/s42003-022-03702-4Source: DataRank Database

Whole genome sequence association analysis of fasting glucose and fasting insulin levels in diverse cohorts from the NHLBI TOPMed program is a dataset published in Communications Biology (2022). On theSindex it has a DataRank of 0.582, placing it in the top 33.7% of the data-sharing corpus. It has been cited 16 times, with 12 citing works in its 1-hop citation network. Its calibrated FAIR score is 54/100.

Top 34%percentile

0.582DataRank

Ranks in the top 34% for downstream scientific impact

Data paper Open Access16 citations · 12 citing works in its network

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Cite:

Linked data & code

refsnp

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (267 grants)OA: goldTopics (79)IDs (PubMed, PMC)Annotations (1)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (1/3)

Dataset classification

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

54FAIR score

Full FAIR picture · advisory

F Findable

A Accessible

I Interoperable

R Reusable

Top 31% by FAIRLLM-assessed✓ full text read

How the score was derived

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.

F Findableall criteria50

llmPersistent identifier for the datapartial50

“http://t2d.hugeamp.org/”

The paper gives a URL for the data, which is not a persistent identifier scheme. [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'

llmNamed repositoryyes100

“The summary results generated during this study are available at the AMP-T2D Portal, http://t2d.hugeamp.org/.”

The AMP-T2D Portal is a named data repository, though not one of the explicitly listed common ones, it is a recognised portal for type 2 diabetes genetics data. [majority verdict 'yes' (3/5 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

llmDataset formally citedpartial50

“The summary results generated during this study are available at the AMP-T2D Portal, http://t2d.hugeamp.org/.”

The dataset identifier appears only in the body text, not in the reference list.

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

llmData-availability statementpartial50

“The summary results generated during this study are available at the AMP-T2D Portal, http://t2d.hugeamp.org/. Fasting Insulin: https://t2d.hugeamp.org/dinspector.html?dataset=TOPMed_frz5b_pooled_FI_WGS. Fasting Glucose: https://t2d.hugeamp.org/dinspector.html?dataset=TOPMed_frz5b_pooled_FG_WGS. Accession codes for genotype and phenotype files by cohort may be found in Supplementary Table 1.”— not found in the paper; verdict downgraded

The statement points to a public repository with functional links (Colavizza category 3). [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (3/5 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

llmDescription of the dataset as an objectno0

The paper does not provide an itemised inventory or description of the dataset's content. [majority verdict 'no' (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'

A Accessibleall criteria63

llmAccess route free of preconditionsyes100

“The summary results generated during this study are available at the AMP-T2D Portal, http://t2d.hugeamp.org/.”

The data availability statement provides a direct link with no stated precondition.

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

llmAccess level labelledpartial50

“The summary results generated during this study are available at the AMP-T2D Portal, http://t2d.hugeamp.org/.”

The paper states the data are available but does not apply an explicit access-rights label. [majority verdict 'partial' (3/5 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

llmGatekeeper for sensitive datano0

The summary results are publicly available and no gatekeeper is named.

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

llmAvailability timing & retentionno0

The paper does not state a persistence commitment or an availability timeline for the data. [majority verdict 'no' (3/5 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'

I Interoperableall criteria20

llmOpen file formatno0

The paper does not specify the file format of 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

llmCommunity standard / vocabularyno0

The paper does not indicate that the data conform to a community standard vocabulary. [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'

llmIdentifiers for the resources the data depend onyes100

“This research has been conducted using the UK Biobank Resource under Application Number 42614.”

The paper provides an identifier for the UK Biobank resource used in the study. [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'

R Reusableall criteria25

llmReuse licenceno0

The paper does not mention a license for 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'

llmSnapshot identifiedyes100

“We assessed 60 M variants from the TOPMed Freeze 5b WGS data freeze”

Freeze 5b is a version token for the data. [majority verdict 'yes' (3/5 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'

llmAnalysis code availableno0

“Code availability This study did not rely on custom code or mathematical algorithms.”

The paper explicitly states that no custom code was used and provides no code.

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)

llmFunder and award numberyes100

“The Analysis Commons was funded by R01HL131136.”

A grant number is provided 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

llmProvenance of the datapartial50

“Models were fit using GENetic Estimation and Inference in Structured samples (GENESIS) in the Analysis Commons cloud-computing platform.”— not found in the paper; verdict downgraded

The paper names the specific software used to produce the summary results. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (3/5 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

llmDocumentation / codebookno0

The paper does not mention a README, codebook, or schema accompanying the data.

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 →

DataRank Breakdown

Base Score 73%Citation Network 27%

Base Score Contribution

0.425

From this paper's citation signal

Citation Network Contribution

0.157

From 9 citing papers with measurable signal

Learn more about DataRank methodology →

Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 12 citers.

Multi-ancestry genome-wide association analyses: a comparison of meta- and mega-analyses in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study
BMC Genomics20256 citations59 referencesContributes 0.033
Genome-wide association study identifying novel risk variants associated with glycaemic traits in the continental African AWI-Gen cohort
Diabetologia20254 citations55 referencesContributes 0.029
Interaction Between Dietary Fiber Intake and MTNR1B rs10830963 Polymorphism on Glycemic Profiles in Young Brazilian Adults
Genes20252 citations42 referencesContributes 0.026
Global perspectives on CYP2D6 associations with primaquine metabolism and Plasmodium vivax radical cure
Frontiers in Pharmacology20225 citations76 referencesContributes 0.024
Lessons and Applications of Omics Research in Diabetes Epidemiology
Current Diabetes Reports202420 citations144 referencesContributes 0.021

Authors (93)

Sheila M. Gaynor ORCID,Emily M. Russell ORCID,Kenneth E. Westerman ORCID,Laura M. Raffield ORCID,Timothy D. Majarian ORCID

Live enrichment

PubMed:35902682 PMC:PMC9334637

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The Genetic Epidemiology of Heart, Lung, and Blood Traits Training Grant (GenHLB)

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Institute for Clinical and Translational Research

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Grant: 5U01HL072507-04

Genetic Epidemiology of Blood Pressure Intervention

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HYPERGEN CENTRAL BIOCHEMISTRY LABORATORY

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Powering whole genome sequence-based genetic discovery for common human diseases- Extended 2021-2022.

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SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTER

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Genetic Influences on Coronary Artery Calcification

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Leveraging Family Data to Identify Genetic Variants for Sleep Apnea

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CORE--ADIPOSE TISSUE BIOLOGY AND BASIC MECHANISMS

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Next Generation Association Studies of Adiposity in Samoans Enhanced by a Samoan-Specific Whole Genome Sequence Reference Panel

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Genome-wide Search for CVD Gene-Environment Interactions

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Studies of Rare Genetic Variation in the Isolated Population of Sardinia

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SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTER

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CORONARY HEART DISEASE &STROKE IN PEOPLE AGED 65-84

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GENETICS OF GALLBLADDER DISEASE IN MEXICAN AMERICANS

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PAGE III: Population Architecture using Genomics and Epidemiology

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Genetic Mechanisms of Arteriosclerosis in Hypertensive Sibships

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Nurse Model in Black Families at Risk for Heart Disease

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GENETIC DETERMINANTS OF HIGH BP IN THREE RACIAL GROUPS

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NHLBI FAMILY BLOOD PRESSURE PROGRAM (GENOA)

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Interdisciplinary Training for Biostatisticans

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Large Scale Sequencing and Analysis of Genomes

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MESA Family Study

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Rare Sequence Variation and Diabetes Quantitative Traits

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Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer Research

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SUBCLINICAL CARDIOVASCULAR DISEASE STUDY

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CHS research resources for the cardiovascular health of older adults

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SUBCLINICAL CARDIOVASCULAR DISEASE STUDY-ULTRASOUND

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Asprosin, body weight, and risk of type 2 diabetes in U.S. men and women

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Genetics of Diabetes in the Amish

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Integrated cellular, mouse and human research on a novel missense variant influencing adiposity in Samoans

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High-performance mixed model toolset for integrative omics analysis of big data

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Genetics of Brain Structure and Function

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A nested case-control study of exposure to toxic metals, essential metals and their interaction on the risk of type 2 diabetes

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Phenotypic and Molecular Signatures for Sleep Apnea and Related Morbidities

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Mentoring Investigators on the Clinical Translation of Genetic Discoveries in Type 2 Diabetes

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SUBCLINICAL CARDIOVASCULAR DISEASE STUDY-FIELD CENTER

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MESA Family Study

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Genetic Epidemiology of Causal Variants across the Life Course Phase II (CALiCo I

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Pharmacogenomics of Anti-platelet Response

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Epigenomics of Cardiometabolic Diseases in Mexican Americans

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CORE--FIELD AND CLINIC OPERATIONS

National Institutes of Health

Grant: 3U01GM074518-05S1

Pharmacogenomics of CVD risk Reduction

National Institutes of Health

Grant: 3U01HG004803-02S1

Genetic Epidemiology of Causal Variants Across the Life Course

National Institutes of Health

Grant: 3R01HL104135-04S1

Epigenetic Determinants of Lipid Response to Dietary Fat and Fenofibrate

National Institutes of Health

Grant: 3UL1TR001881-01S2

UCLA Clinical Translational Science Institute

National Institutes of Health

Grant: 3R01HL071251-01A1S1

MESA Family Study

National Institutes of Health

Grant: 5K01HL135405-04

Whole Genomic Characterization of Sleep Apnea Traits and Comorbid Disorders

National Institutes of Health

Grant: 5R01DK047482-13

NIDDM Susceptibility Genes in Mexican Americans

National Institutes of Health

Grant: 3R01HL092577-06S1

Identification of Common Genetic Variants for Atrial Fibrillation and PR Interval

National Institutes of Health

Grant: 5R01AG023629-03

Exceptional aging: 12 year trajectories to function

National Institutes of Health

Grant: N01HC055222-001

CHS-Transition Phase -268055222

National Institutes of Health

Grant: 5U01HL054473-13

The Family Blood Pressure Program (Program Data Center)

National Institutes of Health

Grant: 5R01HL131136-03

Epigenetics of Successful Aging

National Institutes of Health

Grant: N01HC085082-024

CORONARY HEART DISEASE AND STROKE

National Institutes of Health

Grant: 1U01HL080295-01

CHS Events Follow-up Study

National Institutes of Health

Grant: 5R01HL071258-04

MESA Family Study

National Institutes of Health

Grant: 3M01RR000052-31S3

GCRC-RENOVATION

National Institutes of Health

Grant: 5KL2RR024990-04

Case Western Reserve University/Cleveland Clinic CTSA (KL2)

National Institutes of Health

Grant: 5K01DK107836-04

Integrating diabetes pathophysiology from genotype to phenotype in whole genome sequence association studies of glycemic traits

National Institutes of Health

Grant: 3R01DK042273-08S1

GENETIC EPIDEMIOLOGY OF NIDDM IN MEXICAN AMERICANS

National Institutes of Health

Grant: 5U01HL072518-04

Genotypic Determinants of Aspirin Response in High-Risk

National Institutes of Health

Grant: 5U01HL054509-09

HYPERGEN-NC

National Institutes of Health

Grant: 5R01AG018728-03

Longevity Genes in Founder Populations

National Institutes of Health

Grant: 5U10HL054457-02

GENETIC DETERMINANTS OF HIGH BP IN THREE RACIAL GROUPS

National Institutes of Health

Grant: N01HC095159-011

SUBCLINICAL CARDIOVASCULAR DISEASE COORDINATING CENTER-268995159

National Institutes of Health

Grant: N01HC095166-002

SUBCLINICAL CARDIOVASCULAR DISEASE STUDY

National Institutes of Health

Grant: N01HC095160-000

SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTER

National Institutes of Health

Grant: N01HC085079-023

CORONARY HEART DISEASE AND STROKE

National Institutes of Health

Grant: 5R01HL071051-05

MESA Family Study

National Institutes of Health

Grant: 5P20GM109036-05

Tulane COBRE for Clinical and Translational Research in Cardiometabolic Diseases

National Institutes of Health

Grant: 1R01MH078111-01

Genetics of Brain Structure and Function

National Institutes of Health

Grant: 5P60DK079637-04

Diabetes Research and Training Center

National Institutes of Health

Grant: 3R01HL071205-04S1

Multi-Ethnic Study of Atherosclerosis (MESA) Study

National Institutes of Health

Grant: N01HC095161-000

SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTER

National Institutes of Health

Grant: 5U01DK105554-03

Proposal for the AMP T2D-GENES Data Coordination Center and Web Portal

National Institutes of Health

Grant: 1R56HG010297-01

PAGE III: Population Architecture using Genomics and Epidemiology

National Institutes of Health

Grant: 1UL1RR033176-01

CTSA INFRASTRUCTURE FOR AIDS RESEARCH

National Institutes of Health

Grant: 5KL2TR002490-05

North Carolina Translational and Clinical Science Institute (NC TraCS) KL2

National Institutes of Health

Grant: 2R01HL055673-11A1

Hypergen: Genetics of Left Ventricular Hypertrophy

National Institutes of Health

Grant: 5R01HL090682-03

Family-Based Genome-wide Association Study for Salt-Sensitivity of Blood Pressure

National Institutes of Health

Grant: 1OT3HL147154-01

NHLBI Data Stage Coordinating Center

National Institutes of Health

Grant: 5U01HL084756-03

Genome-wide Association in Families: Data Integrity, Design and Methods Issue

National Institutes of Health

Grant: 1R01NS062059-01A1

Occult Small Vessel Cerebrovascular Disease in High Risk Families

National Institutes of Health

Grant: 5R01HL085571-03

Predictors of Coronary Artery Calcification in an African-American Cohort

National Institutes of Health

Grant: 5T32HL007055-39

Cardiovascular Epidemiology Training Grant

National Institutes of Health

Grant: 3R01HL142825-01A1S1

Characterizing pleiotropy in cardiometabolic phenotypes among diverse populations - Admin Suppl

National Institutes of Health

Grant: N01HC095162-000

SUBCLINICAL CARDIOVASCULAR DISEASE STUDY-FIELD CENTER

National Institutes of Health

Grant: N01HC095169-004

SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--EBCT READING

National Institutes of Health

Grant: 5R01MH083824-04

Genetics of Brain Structure and Function: Genome-Wide Association

National Institutes of Health

Grant: N01HC085081-016

CORONARY HEART DISEASE &STROKE IN PEOPLE AGED 65-84

National Institutes of Health

Grant: 1UL1TR001420-01

Wake forest Clinical and Translational Science Award

National Institutes of Health

Grant: N01HC085080-018

CORONARY HEART DISEASE &STROKE IN THE ELDERLY

National Institutes of Health

Grant: 2U01HL054495-06

HYPERGEN - BIRMINGHAM FIELD CENTER

National Institutes of Health

Grant: 5R01HL087263-05

Sodium Sensitivity and Risk of Hypertension

National Institutes of Health

Grant: 5U01DK085524-05

Discovery of Functional Variants in Type 2 Diabetes Genes in Mexican Americans

National Institutes of Health

Grant: 3R01HL046380-12S1

Familial Aggregation and Natural History of Sleep Apnea

goldLicense: CC BY

publisherhttps://www.nature.com/articles/s42003-022-03702-4.pdf

publisherhttps://www.nature.com/articles/s42003-022-03702-4

Europe_PMChttps://europepmc.org/articles/PMC9334637

Europe_PMChttps://europepmc.org/articles/PMC9334637?pdf=render

https://doi.org/10.1038/s42003-022-03702-4

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

MeSH Terms

HumansDiabetes Mellitus, Type 2InsulinGlucoseReceptors, ImmunologicNerve Tissue ProteinsFastingPolymorphism, Single NucleotideUnited StatesNational Heart, Lung, and Blood Institute (U.S.)Precision Medicine

Keywords

Biomedical and clinical sciencesType 2 (mesh)Nerve Tissue Proteins (mesh)Quantitative trait3105 Genetics (for-2020)Clinical Research (rcdc)ImmunologicPrecision Medicine (rcdc)and Blood Institute (U.S.)Genetics researchReceptors31 Biological sciences (for-2020)2.1 Biological and endogenous factorsSequencingInsulinMinority HealthBiology (General)Precision MedicineReceptors, ImmunologicLungHumans (mesh)3 Good Health and Well Being (sdg)Insulin (mesh)DiabetesSingle NucleotideFastingBiological Sciencesand Blood Institute (U.S.) (mesh)Minority Health (rcdc)Type 2United States (mesh)BiotechnologySingle Nucleotide (mesh)Immunologic (mesh)QH301-705.5610Nerve Tissue ProteinsBiotechnology (rcdc)Polymorphism, Single NucleotideArticle576Fasting (mesh)Clinical ResearchGeneticsDiabetes MellitusHumansPolymorphismMetabolic and endocrineNutritionGenetics (rcdc)Human Genome2.1 Biological and endogenous factors (hrcs-rac)National HeartHuman Genome (rcdc)Glucose (mesh)United StatesGood Health and Well BeingNutrition (rcdc)GlucoseMetabolic and endocrine (hrcs-hc)32 Biomedical and clinical sciences (for-2020)Diabetes Mellitus, Type 2Diabetes (rcdc)Precision Medicine (mesh)National Heart, Lung, and Blood Institute (U.S.)

Sustainable Development Goals

SDG 3: 3. Good health