Transfer learning with false negative control improves polygenic risk prediction is a dataset published in PLoS Genetics (2023). On theSindex it has a DataRank of 0.376, placing it in the top 47.9% of the data-sharing corpus. It has been cited 6 times, with 5 citing works in its 1-hop citation network. Its calibrated FAIR score is 63/100.
Ranks in the top 48% 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 from a recognized scheme is given for the paper's own dataset. [majority verdict 'no' (3/4 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'
“The numerical results underlying the tables and figures are included as supporting materials ( S2 Table ).”
The data are held in the journal's supplementary materials, not a named data repository. [majority verdict 'partial' (3/4 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
“The computer code for FNC+Lasso, together with complete documentation is publicly available at Github: https://github.com/JessieJeng/FNC-Lasso .”
The dataset identifier (GitHub URL) appears only in the body text, not in the reference list. [majority verdict 'partial' (3/4 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
“For simulation data, the relevant R code used in the simulation are available at https://github.com/JessieJeng/FNC-Lasso .”
The DAS points to a repository (GitHub) for code, but without a persistent identifier for the 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 numerical results underlying the tables and figures are included as supporting materials ( S2 Table ).”
The description of the dataset is a single sentence in running prose, not an itemised inventory. [majority verdict 'partial' (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'
“The computer code for FNC+Lasso, together with complete documentation is publicly available at Github: https://github.com/JessieJeng/FNC-Lasso .”
The paper states the code is publicly available with no 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
“The numerical results underlying the tables and figures are included as supporting materials ( S2 Table ).”
No access-level label is applied to the data; the statement only describes where the data are located. [majority verdict 'partial' (2/4 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 paper's own data are not sensitive 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
No statement about retention or availability timing for the paper'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'
“S2 Table Numerical data underlying graphs and tables. (XLSX)”
The only format named for the data is XLSX, which is proprietary. [majority verdict 'partial' (3/4 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 community data or metadata standard is named for the dataset.
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'
“dbGaP Study Accession: phs000145.v4.p2”
The paper gives a persistent identifier for the third-party CoLaus/PsyCoLaus dataset.
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'
“This is an open access article distributed under the terms of the Creative Commons Attribution License”
The article's CC-BY license applies to the data included in the supplementary materials. [majority verdict 'yes' (3/4 passes agreed)]
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 paper's own dataset.
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'
“The computer code for FNC+Lasso, together with complete documentation is publicly available at Github: https://github.com/JessieJeng/FNC-Lasso .”
A machine-resolvable locator (GitHub URL) is provided for the 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)
“This work is partially supported by National Institutes of Health ( https://www.nih.gov/ ) grants RF1AG074328 and U24AG041689 to JYT.”
The paper gives specific grant numbers.
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
“We adopt the popular Lasso regression to obtain sparse effect estimates and utilize cross-validation to determine the hyper-parameters.”
The paper names specific methods and tools 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
No documentation object (README, codebook) is named 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
0.292
From this paper's citation signal
Citation Network Contribution
0.0845
From 3 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 5 citers.
Foundation for the National Institutes of Health
Grant: RF1AG074328
Foundation for the National Institutes of Health
Grant: U24AG041689
National Institutes of Health
Grant: 1RF1AG074328-01
Copy Number Variation Identification and Association Study on Alzheimer's Disease Whole Genome Sequencing Data
National Institutes of Health
Grant: 5U24AG041689-07
THE NIA GENETICS OF ALZHEIMER'S DISEASE DATA STORAGE SITE
FWCI
1.51
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords