Development and external validation of multimodal postoperative acute kidney injury risk machine learning models is a dataset published in JAMIA Open (2023). On theSindex it has a DataRank of 0.574, placing it in the top 34.2% of the data-sharing corpus. It has been cited 12 times, with 7 citing works in its 1-hop citation network. Its calibrated FAIR score is 4/100.
Ranks in the top 34% 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 paper provides no persistent identifier (DOI, Handle, ARK, URN, or repository accession) for its own dataset.
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 paper does not name a data repository as the holder of the data; the data are held by the institutions and authors.
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 dataset has no identifier, so it is not cited in the reference list or body text.
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 data utilized in this article cannot be shared publicly due to regulatory and legal restrictions. Our data were obtained from 2 hospital systems after our research protocol was reviewed by IRBs from each hospital, and our data use agreements do not permit sharing due to the granular nature of the data. Interested researchers can contact the corresponding author or Madeline Oguss ([email protected]) for specific queries related to data sharing.”— not found in the paper; verdict downgraded
The data-availability statement declares the data cannot be shared and offers no route to obtain the data, only a contact for queries, which falls under 'no'. [majority verdict 'no' (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
“Structured data included demographic characteristics, vital signs, laboratory results, trends of vital signs and laboratory values (eg, highest heart rate in previous 24 h), patient location data (eg, ward, ED, ICU, OR), interventions, and nursing documentation (eg, Braden score).”
The dataset content is described in running prose rather than an itemised inventory (section, table, or list). [majority verdict 'partial' (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'
“The data utilized in this article cannot be shared publicly due to regulatory and legal restrictions. Our data were obtained from 2 hospital systems after our research protocol was reviewed by IRBs from each hospital, and our data use agreements do not permit sharing due to the granular nature of the data. Interested researchers can contact the corresponding author or Madeline Oguss ([email protected]) for specific queries related to data sharing.”— not found in the paper; verdict downgraded
The paper states the data cannot be shared publicly and offers no route to access the data, only a contact for queries, so it is not 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 data utilized in this article cannot be shared publicly due to regulatory and legal restrictions. Our data were obtained from 2 hospital systems after our research protocol was reviewed by IRBs from each hospital, and our data use agreements do not permit sharing due to the granular nature of the data. Interested researchers can contact the corresponding author or Madeline Oguss ([email protected]) for specific queries related to data sharing.”— not found in the paper; verdict downgraded
The paper neither labels the access level with a standard term nor describes any action by which the data can be obtained; it only states the data cannot be shared and offers a contact for queries, not a route to access. [majority verdict 'no' (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
“Interested researchers can contact the corresponding author or Madeline Oguss ([email protected]) for specific queries related to data sharing.”— not found in the paper; verdict downgraded
The paper names a natural person (the corresponding author) as the gatekeeper for data sharing, which is a personal gatekeeper. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (3/5 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
The paper does not address when the data are available or how long they persist.
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 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
“The CUIs are codes that were derived from the Systematized Nomenclature of Medicine—Clinical Terms medical vocabulary from UMLS Metathesaurus.”
The paper names SNOMED CT, a controlled vocabulary registered in FAIRsharing, as the source of the CUIs used for the data. [majority verdict 'yes' (3/5 passes agreed)]
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'
The paper does not provide an identifier for any external resource the data depends on.
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'
The paper attaches a license (CC BY-NC 4.0) to the article, not to the data, and no license is named for the data itself.
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 does not state a version token or date for the dataset.
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 mention code availability or provide a locator 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 supported by grant NIH/NIDDK R01-DK126933 from the National Institute of Diabetes and Digestive and Kidney Diseases (PI: Koyner and Churpek).”
The paper provides an award number (R01-DK126933) attached to a named funder.
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
“The Apache clinical Text Analysis and Knowledge Extraction System was utilized to map the raw text from the clinical notes and reports to CUIs from the National Library of Medicine Unified Medical Language Systems (UMLS).”— not found in the paper; verdict downgraded
The paper names a specific software tool (cTAKES) used to process 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
“See Table S1 for the full list of structured variables.”
The variable definitions are provided in a supplementary table that is part of the article, not shipped with 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
0.385
From this paper's citation signal
Citation Network Contribution
0.189
From 5 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 7 citers.
NIDDK
Grant: R01-DK126933
NIDDK NIH HHS
Grant: R01 DK126933
National Institutes of Health
Grant: 1R01DK126933-01A1
Using Machine Learning for Early Recognition and Personalized Treatment of Acute Kidney Injury
National Institutes of Health
Grant: 1ZIADK013039-04
Molecular modeling of soluble proteins
NIH
National Institute of Diabetes and Digestive and Kidney Diseases
FWCI
1.99
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals