The Causal Relationships Between Extrinsic Exposures and Risk of Prostate Cancer: A Phenome-Wide Mendelian Randomization Study is a dataset published in Frontiers in Oncology (2022). On theSindex it has a DataRank of 0.771, placing it in the top 26.1% of the data-sharing corpus. It has been cited 14 times, with 12 citing works in its 1-hop citation network. Its calibrated FAIR score is 13/100.
Ranks in the top 26% 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.
The paper provides no persistent identifier (DOI, Handle, or repository accession) for its own dataset; the data availability statement is generic.
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 data availability statement does not name a specific repository; it only refers to 'online repositories' without naming them.
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 study's own dataset appears anywhere in the paper, neither in the body text 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 presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.”
The statement points to the article and supplementary material, which is category 2 (data contained within the article and supplements), not a direct repository link.
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
No itemised inventory of the dataset is provided; the paper describes methods and results but not the dataset files or variables. [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'
“The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2022.829248/full#supplementary-material”— not found in the paper; verdict downgraded
The supplementary material is openly accessible without precondition, providing a route to the data. [downgraded to 'partial' — no verifiable quote from the paper] [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
“The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2022.829248/full#supplementary-material”— not found in the paper; verdict downgraded
The paper does not label the access level of the data; it only provides a URL to the supplementary material, which implies accessibility but does not state an explicit access-level label. [majority verdict 'no' (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 study's data are summary-level results from public consortia, not sensitive human-subject data, so no gatekeeper is named or required.
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
The paper does not mention any retention period, availability timing, or persistence commitment for the 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'
The paper does not name any file format for the data it generated.
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 data or metadata community standard (e.g., MIAME, MINSEQE, an ontology) is named for the study's data.
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'
“UK Biobank (application ID 45973)”
The paper provides identifiers for external resources used by the study: UK Biobank application ID and PROSPERO registration number.
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 (CC BY).”
The CC BY license is applied to the article, not explicitly to the data; no separate data license is stated. [majority verdict 'no' (3/5 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'
The paper states no version token or date for the dataset it generated.
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 paper does not provide a locator (URL, DOI, or repository) for the study's own analysis code; only third-party packages are mentioned.
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 study was supported by the National Natural Science Foundation of China (81903393, and 81903398), Chongqing Natural Science Foundation Program (cstc2020jcyj-msxmX0021), and Chongqing Special Postdoctoral Science Foundation (XmT2018068).”
The paper provides specific award/grant numbers 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
“All analyses were conducted using the package TwoSampleMR (version 0.5.6) in R (version 4.1.2).”
The paper names specific software and versions 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 such as a README or codebook is mentioned as accompanying the data. [majority verdict 'no' (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
0.406
From this paper's citation signal
Citation Network Contribution
0.364
From 10 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 12 citers.
National Natural Science Foundation of China
Grant: 81903393, 81903398
Natural Science Foundation of Chongqing
Grant: cstc2020jcyj-msxmX0021
NCI NIH HHS
Grant: R01 CA128978
NCI NIH HHS
Grant: U19 CA148112
NHLBI NIH HHS
Grant: HHSN268201200008I
NCI NIH HHS
Grant: U19 CA148537
NCI NIH HHS
Grant: U01 CA188392
NCI NIH HHS
Grant: U01 CA098710
NCI NIH HHS
Grant: U01 CA098233
NHLBI NIH HHS
Grant: HHSN268201200008C
NCI NIH HHS
Grant: U01 CA098216
NCI NIH HHS
Grant: U01 CA098758
NCI NIH HHS
Grant: U19 CA148065
National Institutes of Health
Grant: 5U01CA098233-06
Characterizing Genetic Susceptibility to Breast and Prostate Cancer; the BPC3
National Health and Medical Research Council (NHMRC)
Grant: 126402
The predictors of prostate cancer in the Melbourne Collaborative Cohort Study
European Commission
Grant: 223175
Collaborative Oncological Gene-environment Study
National Health and Medical Research Council (NHMRC)
Grant: 940394
why do some men get prostate cancer?
National Institutes of Health
Grant: 7U01CA188392-03
Imputation-based approach to identify low frequency variants in prostate cancer
National Health and Medical Research Council (NHMRC)
Grant: 209057
Epidemiology of Chronic Disease, Health Interventions and DNA Studies
National Health and Medical Research Council (NHMRC)
Grant: 396414
The Health 2020 Cohort Study (Health 2020)
National Health and Medical Research Council (NHMRC)
Grant: 623204
A case control study of risk factors for aggressive prostate cancer
National Health and Medical Research Council (NHMRC)
Grant: 251533
Platform for Young Public health researchers to Upgrade their Scientific training Experience and independent Status
National Health and Medical Research Council (NHMRC)
Grant: 504715
PRACTICAL Australia
National Institutes of Health
Grant: 3U19CA148112-04S1
Follow-up of Ovarian Cancer Genetic Association and Interaction Studies (FOCI)
National Health and Medical Research Council (NHMRC)
Grant: 614296
Australian Prostate Cancer Collaboration (APCC) Bio - Resource
National Institutes of Health
Grant: 1U01CA098216-01
Breast &prostate cancer &hormone-related gene variants
National Institutes of Health
Grant: 5U19CA148065-04
Discovery Expansion and Replication
National Institutes of Health
Grant: 5R01CA128978-02
A genome-wide association study for breast cancer in BRCA1 mutation carriers
National Institutes of Health
Grant: 1U01CA098758-01
Breast &Prostate Cancer &Hormone-related Gene Variants
National Health and Medical Research Council (NHMRC)
Grant: 504700
Markers of inflammation and prostate cancer risk
Canadian Institutes of Health Research
Grant: unidentified
unidentified
National Institutes of Health
Grant: 5U19CA148537-02
Elucidating Loci Involved in Prostate Cancer Suceptibility
National Health and Medical Research Council (NHMRC)
Grant: 504702
Infections, inflammatory markers and prostate cancer risk
National Institutes of Health
Grant: 5U01CA098710-06
Characterizing Genetic Susceptibility to Breast and Prostate Cancer: The BPC3.
National Health and Medical Research Council (NHMRC)
Grant: 450104
Markers of androgen action, genetic variation and prostate cancer risk
Chongqing Postdoctoral Science Special Foundation
FWCI
2.18
Citation Percentile
0.9%
Influential Citations
1
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals