Improved quantitative parameter estimation for prostate T2 relaxometry using convolutional neural networks is a dataset published in Magnetic Resonance Materials in Physics Biology and Medicine (2024). On theSindex it has a DataRank of 0.323, placing it in the top 52.8% of the data-sharing corpus. It has been cited 4 times, with 3 citing works in its 1-hop citation network. Its calibrated FAIR score is 46/100.
Ranks in the top 53% 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.
“All of the de-identified in vivo data used in this study are available in the Data Repository for the University of Minnesota, at https:// conservancy.umn.edu/handle/11299/243192 [58].”— not found in the paper; verdict downgraded
The paper gives a Handle (hdl.handle.net) URL for the dataset, which is a persistent identifier scheme. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (4/5 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 of the de-identified in vivo data used in this study are available in the Data Repository for the University of Minnesota”
The Data Repository for the University of Minnesota is a named repository (University of Minnesota Digital Conservancy). [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
“Metzger GJ, Bolan PJ (2022) Multi-echo spin echo prostate images for T2 mapping. https:// doi.org/10.13020/jnad-w618”— not found in the paper; verdict downgraded
The dataset appears as a formal reference-list entry (reference [58]) with a DOI, meeting the FORCE11 data citation principle. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (2/5 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 of the de-identified in vivo data used in this study are available in the Data Repository for the University of Minnesota, at https:// conservancy.umn.edu/handle/11299/243192 [58]. The source code for training neural networks, evaluating results, and generating the figures in this manuscript, along with the trained models, are available on Github at https:// github.com/ patbolan/ prost ate_ t2map.”— not found in the paper; verdict downgraded
The data-availability statement points to a repository record (Handle URL) and a code repository, which corresponds to Colavizza category 3. [downgraded to 'partial' — no verifiable quote from the paper] [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
“a subset of 118 scans with a consistent acquisition protocol and acceptable data quality were selected for this analysis”
The dataset is described in running prose without an itemised inventory (section, table, or list) of files or variables. [majority verdict 'partial' (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'
“All of the de-identified in vivo data used in this study are available in the Data Repository for the University of Minnesota, at https:// conservancy.umn.edu/handle/11299/243192 [58].”— not found in the paper; verdict downgraded
The data are stated to be available in a public repository with no precondition (embargo, registration, or application) mentioned. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (4/5 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
“All of the de-identified in vivo data used in this study are available in the Data Repository for the University of Minnesota, at https:// conservancy.umn.edu/handle/11299/243192 [58].”— not found in the paper; verdict downgraded
The paper describes the action of accessing the data in the repository but does not apply an explicit access-level label such as 'open access' or 'publicly available'. [downgraded to 'no' — no verifiable quote from the paper] [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
“These 118 datasets were deidentified in compliance with University of Minnesota policy, published on the University’s public data repository, and used for all analyses herein.”
The data are deidentified and publicly available; 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 sentence states how long the data will remain available or gives a retention commitment.
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 the file format of the released 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
No community standard (checklist, ontology, or schema) is named for the 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'
No identifier for an external resource (source dataset, database, or reference genome) is provided; the paper only uses generic references. [majority verdict 'no' (4/5 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 licence is stated for the data; the CC BY 4.0 licence 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'
Neither a version token nor a date is provided to identify the snapshot of the data. [majority verdict 'no' (4/5 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'
“The source code for training neural networks, evaluating results, and generating the figures in this manuscript, along with the trained models, are available on Github at https:// github.com/ patbolan/ prost ate_ t2map.”— not found in the paper; verdict downgraded
The paper gives a machine-resolvable code repository URL (GitHub) for its own code. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (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)
“This work was funded by the US National Institutes of Health (NIH) under grants P41 EB027061, R01 CA241159, R01 EB029985, S10 OD017974-01, R01 HL153146, and R21 EB028369.”
The paper provides specific grant numbers (e.g., P41 EB027061) 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 prostate MR imaging was acquired on a Siemens 3 T Prisma scanner with surface and endorectal receive coils.”
The paper names the specific instrument (Siemens 3T Prisma) and other equipment used 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 (README, codebook, or schema) is said to accompany the 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
0.241
From this paper's citation signal
Citation Network Contribution
0.0812
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 3 citers.
National Institute of Biomedical Imaging and Bioengineering
Grant: EB027061
National Institute of Biomedical Imaging and Bioengineering
Grant: EB029985
National Institute of Biomedical Imaging and Bioengineering
Grant: EB028369
National Cancer Institute
Grant: R01 CA241159
NIH Office of the Director
Grant: S10 OD017974
National Heart, Lung, and Blood Institute
Grant: HL153146
National Institutes of Health
Grant: 5R01EB029985-02
Development of Enabling Technologies for Clinical Ultrahigh Field Body MRI
National Institutes of Health
Grant: 5R01HL153146-02
Rapid Comprehensive Cardiac MRI Exam for Diagnosis of Coronary Artery Disease
National Institutes of Health
Grant: 5R01CA241159-02
Computer Aided Diagnostic System for Prostate Cancer Detection Using Quantitative Multiparametric MRI
National Institutes of Health
Grant: 3P41EB027061-03S1
Technology to Realize the Full Potential of UHF MRI (Supplement)
National Institutes of Health
Grant: 1S10OD017974-01
High Performance Connectome Upgrade for Human 3T MR Scanner
National Institutes of Health
Grant: 1R21EB028369-01A1
Novel Quantitative MRI Techniques for the Assessment of Cardiac Fibrosis without Gadolinium Contrast
NHLBI NIH HHS
Grant: R01 HL153146
NIBIB NIH HHS
Grant: P41 EB027061
NIBIB NIH HHS
Grant: R01 EB029985
NIBIB NIH HHS
Grant: R21 EB028369
FWCI
1.05
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords