Leveraging multimodal neuroimaging and GWAS for identifying modality-level causal pathways to Alzheimer’s disease is a dataset published in Imaging Neuroscience (2025). On theSindex it has a DataRank of 0.198, placing it in the top 65.2% of the data-sharing corpus. It has been cited 2 times, with 1 citing works in its 1-hop citation network. Its calibrated FAIR score is 13/100.
Ranks in the top 65% for downstream scientific impact
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.
No persistent identifier is given for the study's own dataset; the code URL is not a persistent identifier.
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'
“Codes used in simulation studies and data analyses are available at https://github.com/junjypark/MV_Modality_IWAS.”— not found in the paper; verdict downgraded
The named host for the code is GitHub, which is not a data repository, and no repository is named for the study's own data. [downgraded to 'no' — no verifiable quote from the paper]
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
The paper does not cite its own dataset; it cites external data sources (UK Biobank, IGAP) and the code repository.
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 GWAS summary statistics data used in this study are publicly available, with details provided in Section 4.1. Codes used in simulation studies and data analyses are available at https://github.com/junjypark/MV_Modality_IWAS.”— not found in the paper; verdict downgraded
The data availability statement points to external data and code, not to a repository record for the study's own dataset.
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
The paper does not provide an itemised inventory or description of its own dataset; it only describes the external data used.
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'
“The GWAS summary statistics data used in this study are publicly available, with details provided in Section 4.1.”— not found in the paper; verdict downgraded
The paper does not provide a route to the study's own data; it only indicates that the external data are open, and the code is available on GitHub.
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
“The GWAS summary statistics data used in this study are publicly available, with details provided in Section 4.1.”— not found in the paper; verdict downgraded
The paper states that the external data used are publicly available, but does not provide an access-conditions label for the study's own data, which are not deposited.
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 study does not involve sensitive human-subject data; it uses publicly available summary statistics, so no gatekeeper is needed.
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 retention or availability timeline is stated for the study's own data.
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 study's own 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
The paper does not name a community standard applied to its own data; it uses standard methods but no explicit standard identifier.
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'
“GWAS summary statistics for gene–AD associations were obtained from https://www.niagads.org/datasets/ng00036”
The paper provides identifiers for external resources (e.g., NIAGADS dataset) that the analysis depends on. [majority verdict 'yes' (3/5 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'
“© 2025 The Authors. Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.”
The CC BY 4.0 license applies to the article, not to the data; no license is stated for the study's own 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 date is provided for the study's own data.
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'
“Codes used in simulation studies and data analyses are available at https://github.com/junjypark/MV_Modality_IWAS”
The paper provides a GitHub URL for the study's own code. [majority verdict 'yes' (4/5 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)
“J.G. was partially supported by the Natural Sciences and Engineering Research Council of Canada (RGPIN-2021-03734), and the University of Toronto’s Data Science Institute, and the Connaught Fund. J.Y.P. was partially supported by the Natural Sciences and Engineering Research Council of Canada (RGPIN-2022-04831), and the University of Toronto’s Data Science Institute, and the Connaught Fund.”
The paper includes specific grant numbers alongside funder names.
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 study does not produce data; provenance methods are described only for the analysis, not for data generation. [majority verdict 'no' (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
No documentation object (e.g., README, codebook) is provided for the study's own 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 →
Base Score Contribution
0.165
From this paper's citation signal
Citation Network Contribution
0.0334
From 1 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 1 citer.
Medical Research Council
Grant: 503480
Alzheimer’s Research UK
Grant: 503176
Wellcome Trust
Grant: 082604/2/07/Z
German Federal Ministry of Education and Research (BMBF):
Grant: 01GI0102
German Federal Ministry of Education and Research (BMBF):
Grant: 01GI0711
German Federal Ministry of Education and Research (BMBF):
Grant: 01GI0420
NIH/NIA
Grant: R01 AG033193
NIA
Grant: AG081220
AGES
Grant: N01-AG-12100
NHLBI
Grant: R01 HL105756
NIH/NIA
Grant: U01 AG032984
NIH/NIA
Grant: U24 AG021886
NIH/NIA
Grant: U01 AG016976
Alzheimer’s Association
Grant: ADGC-10-196728
Natural Sciences and Engineering Research Council of Canada
Grant: RGPIN-2021-03734
Natural Sciences and Engineering Research Council of Canada
Grant: RGPIN-2022-04831
Natural Sciences and Engineering Research Council of Canada
Grant: unidentified
unidentified
National Institutes of Health
Grant: 5U01AG016976-03
ALZHEIMERS DISEASE DATA COORDINATING CENTER
National Institutes of Health
Grant: 5U24AG021886-18
National Cell Repository for Alzheimer's Disease (NCRAD)
National Institutes of Health
Grant: N01AG012100-017
AGES STUDY-THE REYKJAVIK STUDY OF HEALTHY AGING FOR THE NEW MILLENNIUM-260012100
Wellcome Trust
Grant: 082604
A Powerful, Genome-Wide Association Scan for Susceptibility Genes for late-onset Alzheimer's disease
National Institutes of Health
Grant: 2R01HL105756-07
CHARGE consortium: gene discovery for CVD and aging phenotypes
National Institutes of Health
Grant: 5U01AG032984-15
Alzheimer's Disease Genetics Consortium
National Institutes of Health
Grant: 1R01AG033193-01
Collaborative GWAS of Dementia, AD and related MRI and Cognitive Endophenotypes
The CAMH Foundation
Canadian Institutes of Health Research
Krembil Foundation
McLaughlin Centre
University of Toronto’s Data Science Institute, and the Connaught Fund
The Koerner Family Foundation
FWCI
1.95
Citation Percentile
0.8%
Citation Trend
Fields of Study
Keywords