COVID-19 trial graph: a linked graph for COVID-19 clinical trials is a dataset published in Journal of the American Medical Informatics Association (2021). On theSindex it has a DataRank of 0.484, placing it in the top 39.4% of the data-sharing corpus. It has been cited 8 times, with 8 citing works in its 1-hop citation network. Its calibrated FAIR score is 52/100.
Ranks in the top 39% 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.
“https://github.com/UT-Tao-group/clinical_trial_graph”
The dataset is located via a URL that is not a persistent identifier scheme (DOI, Handle, etc.), so it is a partial identifier.
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 graph data files and Cypher case queries are publically available at https://github.com/UT-Tao-group/clinical_trial_graph”
GitHub is a non-repository host (code hosting platform), not a curated data repository.
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 graph data files and Cypher case queries are publically available at https://github.com/UT-Tao-group/clinical_trial_graph”
The dataset identifier (GitHub URL) appears only in the body text, not as a reference-list entry.
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 and case queries are available at https://github.com/UT-Tao-group/clinical_trial_graph”
The statement points to a GitHub repository link, not to a repository record with an accession or DOI, so it is category 2 (link to archived data but not a persistent repository record). [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
“Table 1. Node types and the number of unqiue entities in the COVID-19 Trial Graph”
The paper includes a table (Table 1) that itemises the node types and counts, which is an itemised inventory of the dataset's components. [majority verdict 'yes' (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 graph data files and Cypher case queries are publically available at https://github.com/UT-Tao-group/clinical_trial_graph”
The data are stated to be publicly available without any precondition.
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 underlying this article and case queries are available at https://github.com/UT-Tao-group/clinical_trial_graph”
The sentence describes where to access the data without using an explicit access-level label such as 'open access' or 'publicly available', which is characteristic of an action sentence. [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
The paper does not indicate that the data are sensitive or human-subject, and no gatekeeper is named.
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 the timing of availability or persistence commitment for the data. [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; the paper only mentions 'graph data files' without specifying an open or proprietary format.
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
“All of the extracted entities from eligibility criteria text were then mapped to the OMOP Common Data Model”
OMOP Common Data Model is a community standard for observational data, 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'
No identifier for any external resource (e.g., source dataset, reference database) is provided in the text.
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 reuse terms are stated for 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'
“The graph currently (as of October 5, 2020) contains 3392 registered COVID-19 clinical trials”
A date is provided to pin the snapshot, but no version token is given.
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/UT-Tao-group/clinical_trial_graph”
A machine-resolvable locator (GitHub URL) is given for the study's code and data.
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)
“R56AI150272 and R01AI130460”
Award numbers are provided for the funding from the National Institutes of Health.
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
“Criteria2query, a hybrid information extraction pipeline for parsing eligibility criteria text, was then adopted”— not found in the paper; verdict downgraded
Specific tools and instruments (Criteria2query, CLAMP, Neo4j) are named for producing the data. [downgraded to 'partial' — no verifiable quote from the paper]
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. Node types and the number of unqiue entities in the COVID-19 Trial Graph”
Variable definitions (node types and relationship types) are provided in tables inside the article, not as a separate documentation file shipped with the data.
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
0.330
From this paper's citation signal
Citation Network Contribution
0.155
From 4 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 8 citers.
National Institutes of Health
Grant: R56AI150272
National Institutes of Health
Grant: R01AI130460
Cancer Research
Grant: RR180012
National Institute of Health
Grant: R01AG066749
National Institute of Health
Grant: R01AG066749-S1
National Institutes of Health
Grant: 1R56AI150272-01A1
Using big data and deep learning on predicting HIV transmission risk in MSM population
National Institutes of Health
Grant: 5R01AG066749-04
Finding combinatorial drug repositioning therapy for Alzheimer's disease and related dementias
National Institutes of Health
Grant: 1R01AI130460-01
Dynamic learning for post-vaccine event prediction using temporal information in VAERS
Christopher Sarofim Family Professorship, UT Stars award
FWCI
0.55
Citation Percentile
0.7%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals