Genome‐wide transcriptome analysis of Aβ deposition on PET in a Korean cohort is a dataset published in Alzheimer s & Dementia (2024). On theSindex it has a DataRank of 0.188, placing it in the top 65.8% of the data-sharing corpus. It has been cited 2 times, with 2 citing works in its 1-hop citation network. Its calibrated FAIR score is 4/100.
Ranks in the top 66% 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 string for the dataset is given; the only DOI is for the article itself.
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'
No repository is named as the holder; the data are to be provided by the corresponding author.
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
No identifier for the dataset appears anywhere in the paper, neither in the body nor 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
“The datasets used and analyzed in this study will be provided by the corresponding author upon approval request.”
The DAS exists but points to a person, not a repository record. [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
The dataset content is described in running prose only, without an itemized inventory or section. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (3/5 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'
The only route offered is a discretionary request to a person, which is not a followable access route.
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 datasets used and analyzed in this study will be provided by the corresponding author upon approval request.”
No explicit access-level label is used; the access action is described. [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
“The datasets used and analyzed in this study will be provided by the corresponding author upon approval request.”
The gatekeeper is a natural person (corresponding author), not an institutional committee. [majority verdict 'partial' (4/5 passes agreed)]
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 states when the data become available or how long they persist.
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; only processing formats are mentioned.
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 named for the data. [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'
The paper provides the reference genome assembly build ID (GRCh38.p14) for a resource used but not generated by the study. [downgraded to 'no' — no verifiable quote from the paper]
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 named for the data; the CC-BY-NC license applies to the article only.
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 given for the dataset snapshot.
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'
No custom code location is provided; only third-party tools are named.
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)
“Funding information Ministry of Science and ICT, South Korea, Grant/Award Number: 2020R1C1C1013718; National Institute on Aging, Grant/Award Number: U01 AG072177;”
Award numbers are provided for the funding. [majority verdict 'yes' (4/5 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
“The pooled libraries were sequenced on an Illumina NovaSeq 6000 sequencer to generate paired-end 150 bp reads.”
Specific instruments and kits are named for data production. [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
No documentation object or variable-definition table is provided for the dataset.
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
0.0228
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 2 citers.
Ministry of Science and ICT, South Korea
Grant: 2020R1C1C1013718
National Institute on Aging
Grant: U01 AG072177
Foundation for the National Institutes of Health
Grant: P30 AG010133
Foundation for the National Institutes of Health
Grant: P30 AG072976
Foundation for the National Institutes of Health
Grant: R01 AG019771
Foundation for the National Institutes of Health
Grant: R01 AG057739
Foundation for the National Institutes of Health
Grant: U19 AG024904
Foundation for the National Institutes of Health
Grant: R01LM012535
Foundation for the National Institutes of Health
Grant: R01LM013463
Foundation for the National Institutes of Health
Grant: R01AG068193
Foundation for the National Institutes of Health
Grant: T32AG071444
Foundation for the National Institutes of Health
Grant: U01AG068057
Foundation for the National Institutes of Health
Grant: U19AG074879
Korean government grants
Grant: NRF-2014M3C7A1046042
Korean government grants
Grant: HI19C0149
Korean government grants
Grant: RS-2023-KH136195
Korean government grants
Grant: HI18C0630
Korean government grants
Grant: RS-2022-00165636
National Institutes of Health
Grant: 5P30AG010133-08
CORE-- EDUCATION AND INFORMATION TRANSFER
National Institutes of Health
Grant: 5R01AG057739-04
Leveraging Neuroimaging Biomarkers to Understand the Role of Social Networks in Alzheimer's Disease
National Institutes of Health
Grant: 5R01LM013463-03
Informatics Algorithms for Genomic Analysis of Brain Imaging Data
National Institutes of Health
Grant: 1U01AG068057-01
Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease Biobanks
National Institutes of Health
Grant: 5U01AG072177-02
KBASE2: Korean Brain Aging Study, Longitudinal Endophenotypes and Systems Biology
National Institutes of Health
Grant: 2R01AG019771-06
Memory Circuitry in MCI and Early Alzheimers Disease
National Institutes of Health
Grant: 5T32AG071444-03
Training Grant on Alzheimer's Disease and ADRD at Indiana University
National Institutes of Health
Grant: 5R01AG068193-03
Cognitive Aging, Alzheimers disease, and Cancer-related Cognitive Decline
National Institutes of Health
Grant: 5P30AG072976-02
Indiana Alzheimer's Disease Research Center
National Institutes of Health
Grant: 3U19AG024904-18S3
Alzheimer's Disease Neuroimaging Initiative (ADNI4)
National Institutes of Health
Grant: 1R01LM012535-01
Integrating Neuroimaging, Multi-omics, and Clinical Data in Complex Disease
Fields of Study
MeSH Terms
Keywords