Genetic and multi-omic resources for Alzheimer disease and related dementia from the Knight Alzheimer Disease Research Center is a dataset published in Scientific Data (2024). On theSindex it has a DataRank of 0.695, placing it in the top 28.8% of the data-sharing corpus. It has been cited 33 times, with 16 citing works in its 1-hop citation network. Its calibrated FAIR score is 67/100.
Ranks in the top 29% 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.
“array-based genotyping data (NG00127), sequence data (NG00067), transcriptomic (NG00083), plasma acellular transcriptomics (NG00142), small RNA transcriptomics (NG00167 and NG00168), proteomic (NG00102; NG00128), metabolomic and lipidomic (NG00113), methylation (NG00114), single nuclei brain transcriptomic data (NG00108)”
The paper lists NIAGADS accession numbers, which are persistent identifiers for the datasets. [majority verdict 'yes' (3/5 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'
“All data generated from Knight-ADRC participants have been and will be deposited at NIAGADS”
NIAGADS is a recognised data repository (National Institute on Aging Genetics of Alzheimer's Disease Data Storage). [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
“All the data is currently available at NIAGADS can be found under unique accession numbers distributed as follow: array-based genotyping data (NG00127), ...”— not found in the paper; verdict downgraded
The dataset identifiers appear only in the body text and not as a reference-list entry. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (4/5 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
“All data generated from Knight-ADRC participants have been and will be deposited at NIAGADS under the Knight ADRC collection”
The statement points to a repository (NIAGADS) with accessions, satisfying Colavizza category 3. [majority verdict 'yes' (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 5. Knight-ADRC participants with high-throughput data available distributed by data type and tissue of origin.”
The paper provides an itemised inventory of the dataset in a table.
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'
“Data is only shared for participants with the appropriate consent level”
The access route carries a precondition based on consent level, making it conditional. [majority verdict 'partial' (3/5 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
“Data is only shared for participants with the appropriate consent level”
The text describes the access condition (appropriate consent level) but does not use a standard access-rights vocabulary 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
“NIAGADS”— not found in the paper; verdict downgraded
The paper names NIAGADS, a controlled-access repository, as the institutional gatekeeper for the sensitive human-subject data. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (2/5 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
“All data generated from Knight-ADRC participants have been and will be deposited at NIAGADS under the Knight ADRC collection”
The paper states that data have been and will be deposited, indicating availability timing but no explicit persistence commitment. [majority verdict 'partial' (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'
“VCF files corresponding to whole genome data”
VCF is an open, community-standard file format for variant data. [majority verdict 'yes' (3/5 passes agreed)]
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 FAIRsharing-registered data or metadata community standard is named; only pipeline standards are mentioned. [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'
“reference genome GRCh38”
The paper provides a genome build identifier (GRCh38) for a resource other than its own dataset. [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'
No reuse license is named for the data; the CC-BY license applies only to the article.
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'
“NG00067.v12”
The paper provides a version token (v12) for the dataset. [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'
“https://github.com/NeuroGenomicsAndInformatics”
The paper gives a machine-resolvable URL to a code repository on GitHub. [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)
“P30AG066444”
The paper provides a specific grant number for the funding.
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
“Illumina NovaSeq 6000”
The paper names a specific instrument used to produce the data.
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 7. NIAGADS Datasets Description.”
The paper includes a table inside the article that defines the data files and variables. [majority verdict 'partial' (4/5 passes agreed)]
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
0.529
From this paper's citation signal
Citation Network Contribution
0.166
From 8 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 16 citers.
U.S. Department of Health & Human Services | NIH | Center for Scientific Review
Grant: P30AG066444
NIA NIH HHS
Grant: R00 AG062723
NIA NIH HHS
Grant: RF1 AG053303
NIA NIH HHS
Grant: P01 AG026276
NIA NIH HHS
Grant: R01 AG044546
NIA NIH HHS
Grant: RF1 AG058501
NIA NIH HHS
Grant: U19 AG032438
NIA NIH HHS
Grant: R21 AG077643
NIA NIH HHS
Grant: U01 AG058922
NIA NIH HHS
Grant: P01 AG003991
NINDS NIH HHS
Grant: R01 NS123571
NIA NIH HHS
Grant: RF1 AG074007
NIA NIH HHS
Grant: R01 AG074007
National Institutes of Health
Grant: 5R00AG062723-05
Plasma Cell-Free RNA as Non-invasive Biomarker for Neurodegeneration
National Institutes of Health
Grant: 5R01AG044546-03
IDENTIFYING RARE VARIANTS THAT INCREASE RISK FOR ALZHEIMER'S DISEASE
National Institutes of Health
Grant: 1RF1AG074007-01
Sex-specific Molecular Profiling to Understand Pathology and Identify Causal Genes and Drug Targets for Alzheimer's Disease
National Institutes of Health
Grant: 5P01AG003991-38
Healthy Aging and Senile Dementia
National Institutes of Health
Grant: 5U19AG032438-03
DIAN Genetics Core
National Institutes of Health
Grant: 5R01NS123571-03
Dissect the mechanisms of selective regional vulnerability in Lewy Body Dementias via comparative snRNA-seq analysis
National Institutes of Health
Grant: 5P01AG026276-07
Antecedent Neuroimaging Biomarkers
National Institutes of Health
Grant: 1RF1AG058501-01
GENETIC MODIFIERS OF CEREBROSPINAL FLUID TREM2 IN ALZHEIMER'S DISEASE
National Institutes of Health
Grant: 5U01AG058922-05
The Familial Alzheimer Sequencing (FASe) Project
National Institutes of Health
Grant: 1P30AG066444-01
Alzheimer's Disease Research Center
National Institutes of Health
Grant: 3RF1AG053303-01S1
USING QUANTITATIVE TRAITS TO IDENTIFY NOVEL GENES FOR ALZHEIMERS DISEASE AND OTHER COMPLEX TRAITS
National Institutes of Health
Grant: 1R21AG077643-01
Optimization of imaging mass cytometry, a single-cell spatial proteomics technology, for the study of Alzheimer disease
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals