A dataset and benchmark for hospital course summarization with adapted large language models is a dataset published in Journal of the American Medical Informatics Association (2024). On theSindex it has a DataRank of 1.1, placing it in the top 18.8% of the data-sharing corpus. It has been cited 30 times, with 29 citing works in its 1-hop citation network. Its calibrated FAIR score is 71/100.
Ranks in the top 19% 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.
“Aali A, Van Veen D, Arefeen YI, et al. MIMIC-IV-Ext-BHC: Labeled Clinical Notes Dataset for Hospital Course Summarization. PhysioNet. 2024. https://doi.org/10.13026/fh2q-4148.”
The reference list entry for the dataset contains a DOI (10.13026/fh2q-4148), a persistent identifier scheme. [majority verdict 'yes' (3/5 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'
“The MIMIC-IV-BHC dataset, published on PhysioNet [23].”
PhysioNet is a named data repository that issues accessions and commits to retention.
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
“Aali A, Van Veen D, Arefeen YI, et al. MIMIC-IV-Ext-BHC: Labeled Clinical Notes Dataset for Hospital Course Summarization. PhysioNet. 2024. https://doi.org/10.13026/fh2q-4148.”
The dataset appears as a reference-list entry in the bibliography. [majority verdict 'yes' (4/5 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
“To allow researchers to replicate our adaptation and evaluation approach for BHC summarization, we publicly release: 1. The MIMIC-IV-BHC dataset, published on PhysioNet [23].”
The data availability statement points to a repository record (PhysioNet, with a DOI accessible via the reference).
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
“Table 1. a) A sample from MIMIC-IV-BHC, our novel pre-processed dataset extracted from raw MIMIC-IV notes. ... b) Statistics for the MIMIC-IV-BHC subsets, binned across multiple context length ranges for adaptation tasks.”— not found in the paper; verdict downgraded
Table 1 provides an itemised inventory of the dataset, showing a sample and statistics. [downgraded to 'partial' — no verifiable quote from the paper] [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'
“To allow researchers to replicate our adaptation and evaluation approach for BHC summarization, we publicly release: 1. The MIMIC-IV-BHC dataset, published on PhysioNet [23].”
The text states the data are publicly released on PhysioNet with no precondition mentioned.
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
“To allow researchers to replicate our adaptation and evaluation approach for BHC summarization, we publicly release: 1. The MIMIC-IV-BHC dataset, published on PhysioNet [23].”
The paper uses the phrase 'publicly release', which is a natural-language equivalent of 'open access', thus labeling the access level.
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 dataset is de-identified and publicly released; no gatekeeper is named for this study's own data. [majority verdict 'no' (4/5 passes agreed)]
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
“To allow researchers to replicate our adaptation and evaluation approach for BHC summarization, we publicly release: 1. The MIMIC-IV-BHC dataset, published on PhysioNet [23].”
The paper states the data are available now ('publicly release') but does not commit to how long they will persist. [majority verdict 'partial' (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 dataset.
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 for data or metadata is named; the paper only describes its own structure.
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'
“MIMIC-IV-Note: Deidentified free-text clinical notes. PhysioNet. 2023. https://www.physionet.org/content/mimic-iv-note/2.2/.”
The paper references the MIMIC-IV-Note dataset with a URL, which is an identifier for an external resource. [majority verdict 'yes' (3/5 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 license or terms of use are named for the dataset.
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 string nor a specific date is given for the dataset snapshot; the reference year (2024) is insufficient to pin a snapshot. [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 underlying code for data pre-processing, LLM adaptation, and evaluation: github.com/StanfordMIMI/clin-bhc-summ.”
A machine-resolvable code repository URL is provided.
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)
“A.C. receives research support from NIH grants R01 HL167974, R01 HL169345, R01 AR077604, R01 EB002524, R01 AR079431, and P41 EB027060;”
Multiple award numbers are listed for the funding supporting the work.
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
“Using regular expressions and natural language toolkit (NLTK) in Python, we apply: whitespace removal, uniform spacing, section identification, header standardization, extraneous symbol removal, and tokenization.”
The paper names the specific tools (NLTK, Python) used to produce the dataset.
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. a) A sample from MIMIC-IV-BHC, our novel pre-processed dataset extracted from raw MIMIC-IV notes. ... b) Statistics for the MIMIC-IV-BHC subsets, binned across multiple context length ranges for adaptation tasks.”— not found in the paper; verdict downgraded
The variable and file definitions are provided inside the article (Table 1), not as a separate documentation object shipped with the data. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (3/5 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
0.515
From this paper's citation signal
Citation Network Contribution
0.565
From 17 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 29 citers.
NIH
Grant: R01 HL167974
NIH
Grant: R01 HL169345
NIH
Grant: R01 AR077604
NIH
Grant: R01 EB002524
NIH
Grant: R01 AR079431
NIH
Grant: P41 EB027060
NIH
Grant: 75N92020C00008
NIH
Grant: 75N92020C00021
NINR NIH HHS
Grant: T32 NR019035
Stanford Cardiovascular Institute
Stanford Center for Artificial Intelligence and Medicine
One Medical and Stanford University
Stanford Center for Digital Health
GE Healthcare, Philips and Amazon
Stanford Center for Precision Health and Integrated Diagnostics
ProMedica Foundation
Accelerate Foundation Models Academic Research
Stanford Institute for Human Centered AI
Stanford Center for Artificial Intelligence and Medicine
Stanford Center for Digital Health
ProMedica Foundation
Accelerate Foundation Models Academic Research
One Medical and Stanford University
Stanford Center for Precision Health and Integrated Diagnostics
GE Healthcare, Philips and Amazon
Stanford Institute for Human Centered AI
Stanford Cardiovascular Institute
FWCI
7.18
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals