A robust machine learning model based on ribosomal‐subunit‐derived piRNAs for diagnostic potential of nonsmall cell lung cancer across multicentre, large‐scale of sequencing data is a dataset published in Clinical and Translational Medicine (2025). On theSindex it has a DataRank of 0.208, placing it in the top 64.8% of the data-sharing corpus. It has been cited 3 times, with 3 citing works in its 1-hop citation network. Its calibrated FAIR score is 50/100.
Ranks in the top 65% 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.
“The pi‑TPI data and code generated in this study are available on GitHub ( https://github.com/rarukua/pi‐TPI ).”
The identifier is a GitHub URL, which is not a persistent identifier scheme (DOI, Handle, ARK, or repository accession).
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 pi‑TPI data and code generated in this study are available on GitHub ( https://github.com/rarukua/pi‐TPI ).”
GitHub is named as the holder; it is a code repository, not a data repository listed in the class-1 list (e.g., GEO, Zenodo).
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 pi‑TPI data and code generated in this study are available on GitHub ( https://github.com/rarukua/pi‐TPI ).”
The dataset identifier appears only in the body text (data availability statement), not 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 pi‑TPI data and code generated in this study are available on GitHub ( https://github.com/rarukua/pi‐TPI ).”
The statement points to a public repository (GitHub) with a link, corresponding to 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
“We curated 2050 samples from public tissue and plasma datasets including both invasive and noninvasive types, then supplemented with in‐house pooled plasma and exosome samples.”
The dataset is described in running prose without an itemised inventory (section, table, or list) of files, variables, or samples. [majority verdict 'partial' (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 pi‑TPI data and code generated in this study are available on GitHub ( https://github.com/rarukua/pi‐TPI ).”
The sentence gives a route to the data with no stated precondition; it is openly accessible.
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 pi‑TPI data and code generated in this study are available on GitHub ( https://github.com/rarukua/pi‐TPI ).”
The sentence states the data are available on GitHub but does not use an explicit standard access-level label like 'open access' or 'freely available'; the access is described by action.
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 data are from human subjects but are shared openly on GitHub with no gatekeeper mentioned.
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 the timing or retention period for the data. [majority verdict 'no' (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'
No file format is named for 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 data or metadata community standard (e.g., MIAME, BIDS, GO) 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'
“We have 1426 tissue samples from TCGA‑LUAD (559/USA), TCGA‑LUSC (523/USA), GSE83527 (52/Canada), GSE62182 (56/Canada), GSE175462 (140/Canada), GSE110907 (96/Korea), 192 plasma samples from GSE148861 (49/China), GSE148862 (27/China), GSE204951 (92/Spain), 24 plasma pooling samples and 192 plasma exosome samples from our institute (USA).”
The paper provides identifiers (GSE numbers, TCGA) for external datasets that the study used. [majority verdict 'yes' (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 reuse license is named for the data; the CC BY 4.0 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 data 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'
“The pi‑TPI data and code generated in this study are available on GitHub ( https://github.com/rarukua/pi‐TPI ).”
A machine-resolvable locator (GitHub URL) is given 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 was partially supported by the National Institute of Health grants (R01CA223490, R01CA230514, P30GM114737, P20GM103466, U54MD007601, P30CA071789, P20GM139753, U54GM138062, U54HG013243, UE5HG013826, T32DK137523, 1OT2OD032581‑02‑997, 3OT2OD032581‑01S5‑895, 1OT2OD032581‑02‑PP90Y, U24MD015970, RCC‑004UHI‑Pilot, OT2OD032581, 1OT2OD032581‑02‑824).”
Award numbers are provided 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
“We used miRNeasy Serum/Plasma Kit (QIAGEN) for RNA extraction from plasma following the manufacturer's protocol.”
The paper names specific kits and instruments (Qiagen kit, NextSeq 500) 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 mentioned as accompanying 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
0.208
From this paper's citation signal
Citation Network Contribution
0
From 0 citing papers with measurable signal
This paper's DataRank is currently driven only by its base citation score. None of the citing papers had measurable citation signal.
Learn more about DataRank methodology →National Institutes of Health
Grant: R01CA223490
National Institutes of Health
Grant: R01CA230514
National Institutes of Health
Grant: P30GM114737
National Institutes of Health
Grant: P20GM103466
National Institutes of Health
Grant: U54MD007601
National Institutes of Health
Grant: P30CA071789
National Institutes of Health
Grant: P20GM139753
National Institutes of Health
Grant: U54GM138062
National Institutes of Health
Grant: U54HG013243
National Institutes of Health
Grant: T32DK137523
National Institutes of Health
Grant: UE5HG013826
National Institutes of Health
Grant: 1OT2OD032581‐02‐997
National Institutes of Health
Grant: 3OT2OD032581‐01S5‐895
National Institutes of Health
Grant: 1OT2OD032581‐02‐PP90Y
National Institutes of Health
Grant: U24MD015970
National Institutes of Health
Grant: RCC‐004UHI‐Pilot
National Institutes of Health
Grant: OT2OD032581
National Institutes of Health
Grant: 1OT2OD032581‐02‐824
NIH HHS
Grant: 1OT2OD032581-02-997
NIH HHS
Grant: RCC-004UHI-Pilot
NIH HHS
Grant: 1OT2OD032581-02-PP90Y
NIH HHS
Grant: 1OT2OD032581-02-824
NIH HHS
Grant: 3OT2OD032581-01S5-895
Fields of Study
MeSH Terms
Keywords