Understanding comorbidities and health disparities related to COVID-19: a comprehensive study of 776 936 cases and 1 362 545 controls in the state of Indiana, USA is a dataset published in JAMIA Open (2023). On theSindex it has a DataRank of 0.534, placing it in the top 36.3% of the data-sharing corpus. It has been cited 12 times, with 9 citing works in its 1-hop citation network. Its calibrated FAIR score is 23/100.
Ranks in the top 36% 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 data can be accessed upon request at https://www.ridata.org/ or via email to [email protected] .”
A web URL is given, but it is not a persistent identifier scheme (no DOI, Handle, or repository accession). [majority verdict 'partial' (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'
“EHR data were collected from the COVID-19 Research Data Commons (CoRDaCo) which are created and managed by the Regenstrief Institute.”
The holder is a named host (Regenstrief Institute/CoRDaCo), not a standard repository listed in re3data. [majority verdict 'partial' (2/5 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
No identifier for the dataset appears anywhere in the text. [majority verdict 'no' (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
“The data underlying this article were accessed from multiple sources. EHR data were collected from the COVID-19 Research Data Commons (CoRDaCo) which are created and managed by the Regenstrief Institute. The data can be accessed upon request at https://www.ridata.org/ or via email to [email protected] .”
The statement points to a request process, not a repository record (Colavizza category 1). [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
“In total, there were 776 759 COVID-19 positive patients and 1 362 527 COVID-19 negative patients between ages 0 and 110 years.”
The dataset's size and content are described in running prose, not in an itemised inventory. [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'
“The data can be accessed upon request at https://www.ridata.org/ or via email to [email protected] .”
The route is a discretionary request to a person (via email), which is not a followable process.
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
No access-level label is applied to the data; the only mention is a request process. [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
“EHR data were collected from the COVID-19 Research Data Commons (CoRDaCo) which are created and managed by the Regenstrief Institute.”
The Regenstrief Institute is named as the institutional gatekeeper managing access to the sensitive EHR data. [majority verdict 'yes' (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
No statement about how long the data will be available.
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 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
“Comorbidities were identified using corresponding ICD-10 and ICD-9 codes”
ICD-10 is a community-standard vocabulary used for the data. [majority verdict 'yes' (4/5 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'
“Epidemiological data were obtained from the CDC PLACES data portal and are publicly available at https://chronicdata.cdc.gov/500-Cities-Places/PLACES-Local-Data-for-Better-Health-County-Data-20/swc5-untb/data .”
URLs are given for external data sources (CDC, US Census), which are identifiers. [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 named for the data; the CC BY-NC 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'
“We included data between January 1, 2018 and May 5, 2021.”
A date range pins the data snapshot, but no version token is given. [majority verdict 'partial' (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'
No code availability is mentioned; the code is not shared.
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 the National Library of Medicine under Grant Number 3R01LM012605-03S1 and 1R21LM013678-01, the Indiana Clinical and Translational Sciences Institute (funded in part by Award Number UL1TR002529 from the National Institutes of Health, National Center for Advancing Translational Sciences) Clinical and Translational Sciences Award, and the Lilly Endowment, Inc. Physician Scientist Initiative.”
Grant numbers are provided for the 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
No specific instruments, kits, or software are named for data production; only analysis tools are mentioned. [majority verdict 'no' (3/5 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
“We examined 12 comorbidities ( Supplementary Table S1 ).”
The variable definitions are in a supplementary table inside the article, not in a separate documentation file. [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
0.150
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 9 citers.
National Library of Medicine
Grant: 3R01LM012605-03S1
Characterizing COVID-19 Patients through a Community Health Information Exchange and EHR databases
National Library of Medicine
Grant: 1R21LM013678-01
COVID-19 disease course analysis using multi-site large-scale EHR data
National Institutes of Health
Grant: 5UL1TR002529-02
Indiana Clinical and Translational Sciences Institute
FWCI
2.13
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals