TCGA-Reports: A machine-readable pathology report resource for benchmarking text-based AI models is a dataset published in Patterns (2024). On theSindex it has a DataRank of 1.4, placing it in the top 14.8% of the data-sharing corpus. It has been cited 36 times, with 34 citing works in its 1-hop citation network. Its calibrated FAIR score is 71/100.
Ranks in the top 15% 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.
“10.17632/hyg5xkznpx.1”
The dataset has a DOI (10.17632/hyg5xkznpx.1) in the reference list, a persistent identifier scheme. [majority verdict 'yes' (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'
“Text reports are available on Mendeley.”
Mendeley Data is a named repository, meeting the yes definition. [majority verdict 'yes' (4/5 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
“Kefeli J. Tatonetti N. TCGA-Reports: A Machine-Readable Pathology Report Resource for Benchmarking Text-Based AI Models Mendeley Data 2024 10.17632/hyg5xkznpx.1 PMC10935496 38487800”
The dataset identifier (DOI) appears as a reference-list entry, which qualifies as a citation. [majority verdict 'yes' (3/5 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
“Text reports are available on Mendeley.”
The statement names the repository (Mendeley) but does not include the DOI or accession, so it is partial. [majority verdict 'partial' (3/5 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
“The final dataset consisted of 9,523 reports (23,909 pages, or 842,134 lines) across 32 cancer types.”— not found in the paper; verdict downgraded
The dataset content is described in running prose only, without an itemised inventory or table of files. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (2/5 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'
“We make the final corpus of 9,523 patient reports publicly available for researchers to use for data mining or machine learning applications.”
The paper states the data are publicly available on Mendeley with no stated precondition. [majority verdict 'yes' (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
“We make the final corpus of 9,523 patient reports publicly available for researchers to use for data mining or machine learning applications.”
The paper explicitly labels the dataset as 'publicly available' in the introduction, meeting the yes definition. [majority verdict 'yes' (4/5 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 data are de-identified and publicly available with no gatekeeper named; no access control is 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 when the data become available or how long they persist. [majority verdict 'no' (4/5 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. [majority verdict 'no' (4/5 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 data or metadata community standard is named in the paper.
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'
“10.1038/sdata.2016.35”
The paper references the MIMIC-III database with a DOI, an identifier for a resource other than its own dataset. [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 licence is stated for the data; the CC BY license covers only 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'
“a_access_conditions_stated”— not found in the paper; verdict downgraded
No version token or date is stated for the data snapshot. [majority verdict 'no' (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/jkefeli/tcga-path-reports”
The paper gives a GitHub repository URL for the code. [majority verdict 'yes' (3/5 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)
“R35GM131905”
An alphanumeric grant number (R35GM131905) is given for the NIH NIGMS funding. [majority verdict 'yes' (4/5 passes agreed)]
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 OCR to transform reports from PDF into text. We qualitatively evaluated several different OCR programs, with Textract producing the most accurate results.”— not found in the paper; verdict downgraded
The paper names specific tools (Textract, pytesseract, ClinicalBERT) used to produce the data. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (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
“Table 1 Demographic characteristics of patients in final pathology report dataset”
Variable definitions (demographics) are provided inside the article in Table 1, but no documentation object is said to accompany the data. [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
0.542
From this paper's citation signal
Citation Network Contribution
0.854
From 20 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 34 citers.
NIGMS
Grant: R35GM131905
National Institutes of Health
Grant: 5R35GM131905-06
Data-driven drug discovery: investigating the molecular mechanisms of safety and efficacy
FWCI
8.49
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals