Enhanced SARS-CoV-2 case prediction using public health data and machine learning models is a dataset published in JAMIA Open (2024). On theSindex it has a DataRank of 0.174, placing it in the top 66.8% of the data-sharing corpus. It has been cited 2 times, with 2 citing works in its 1-hop citation network. Its calibrated FAIR score is 21/100.
Ranks in the top 67% 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 does not provide any persistent identifier (DOI, Handle, ARK, or repository accession) for its own dataset; the only URL is for code and similar data, not the 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'
“contact the West Virginia Department of Health and Human Resources”
The named holder of the data is the West Virginia Department of Health and Human Resources, a government agency and not a curated data repository, so it is a non-repository host. [majority verdict 'partial' (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
No identifier for the dataset appears anywhere in the paper, neither in the reference list nor in the body text; the GitHub URL is for code and similar data, not the dataset itself.
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 used in this article is owned by a third party. To request access, contact the West Virginia Department of Health and Human Resources ( https://dhhr.wv.gov/Pages/contact.aspx ).”
The statement points to a third party with a request route, not a repository record, placing it in Colavizza category 1 (data available on request).
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
“Data used in this study include patient-level results, procurement, and location information of all SARS-CoV-2 tests reported in West Virginia as part of their mandatory reporting system from January 2021 to March 2022.”
The dataset's content is described in running prose, but there is no itemised inventory, section heading, table, or enumerated list of files or variables.
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 used in this article is owned by a third party. To request access, contact the West Virginia Department of Health and Human Resources ( https://dhhr.wv.gov/Pages/contact.aspx ).”
The only route offered is a discretionary request to a third party, with no defined followable process, which is class 3 (no) in the rubric.
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 used in this article is owned by a third party. To request access, contact the West Virginia Department of Health and Human Resources ( https://dhhr.wv.gov/Pages/contact.aspx ).”
The text describes an access action (contacting a third party) but does not give an explicit access-level label such as 'open access' or 'restricted access'. [majority verdict 'partial' (3/5 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
“contact the West Virginia Department of Health and Human Resources”
The data are human-subject test results, and the text names an institutional gatekeeper (the West Virginia Department of Health and Human Resources) for access requests. [majority verdict 'yes' (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
No sentence in the text states when the data become available or how long they persist; the data are owned by a third party with no retention commitment.
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; the data are not deposited, and the paper does not specify any format for the 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 data or metadata community standard (e.g., MIAME, MINSEQE, ISA-Tab, or an ontology) is named; the paper only mentions generic metrics and reporting guidelines not applied to the 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'
“Relevant code and data similar to what is used in this article can be found in the Github Repository: https://github.com/MKhodaverdi/COVID19-Enhanced-Case-Prediction/tree/main”
The paper provides a URL for its own code, which is a resource other than the dataset; the criterion includes code URLs as 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 or terms document is named for the data; the article's CC-BY-NC license applies to the paper only, not the data.
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 to pin a snapshot of the dataset; the data period is stated but that is not a version or access date.
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'
“Relevant code and data similar to what is used in this article can be found in the Github Repository: https://github.com/MKhodaverdi/COVID19-Enhanced-Case-Prediction/tree/main”
The paper provides a machine-resolvable code-repository URL for the study's own code, which is a class 1 locator. [majority verdict 'yes' (4/5 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)
“National Institute of Health National Institute of Minority Health and Health Disparities RADx-Up 1U01MD017419-01, National Institute of General Medical Sciences RADx-Up 3U54GM104942-06S1, and National Institute of General Medical Sciences, 5U54GM104942”
The text lists specific award/grant numbers attached to named funders, satisfying the class 1 requirement.
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
“Data used in this study include patient-level results, procurement, and location information of all SARS-CoV-2 tests reported in West Virginia as part of their mandatory reporting system from January 2021 to March 2022.”
The data production is described only in generic terms (tests reported, mandatory reporting system) without naming specific instruments, kits, or platforms. [majority verdict 'partial' (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
No documentation object (README, data dictionary, codebook) is named as accompanying the data, and no variable-definition table exists inside the article.
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
0.165
From this paper's citation signal
Citation Network Contribution
9.41 × 10⁻³
From 1 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 2 citers.
National Institute of General Medical Sciences
Grant: 5U54GM104942
FWCI
0.59
Citation Percentile
0.6%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals