Causal analysis for multivariate integrated clinical and environmental exposures data is a dataset published in BMC Medical Informatics and Decision Making (2025). On theSindex it has a DataRank of 0.165, placing it in the top 70.2% of the data-sharing corpus. It has been cited 2 times, with 1 citing works in its 1-hop citation network. Its calibrated FAIR score is 4/100.
Ranks in the top 70% 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.
“No datasets were generated or analysed during the current study.”
The paper does not provide a persistent identifier for its own dataset because none was generated.
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'
“No datasets were generated or analysed during the current study.”
No repository is named as the holder of the paper's own data because the paper generated no dataset.
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 datasets were generated or analysed during the current study.”
No identifier for the paper's own dataset appears anywhere; the paper states no datasets were generated.
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 ICEES asthma OpenAPI can be accessed at https:// icees- asthma. renci. org/ apido cs. The associated public GitHub repositories include: https:// github. com/ Expos uresP rovid er/ icees- api; https:// github. com/ Expos uresP rovid er/ FHIR- PIT; https:// github. com/ NCTra CSIDS ci/ camp- fhir. No datasets were generated or analysed during the current study.”
The data-availability statement points to third-party resources and explicitly states that no datasets were generated, so it does not provide a repository record for the paper's own data.
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
“No datasets were generated or analysed during the current study.”
No itemised inventory or prose description of the paper's own dataset exists because the paper generated no dataset.
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'
“No datasets were generated or analysed during the current study.”
The paper states that no datasets were generated, so there is no access route for its own data.
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 datasets were generated or analysed during the current study.”
The paper explicitly states that no datasets were generated, so there is no access condition label for its own data.
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
“No datasets were generated or analysed during the current study.”
The paper does not generate any sensitive data; it uses an existing de-identified dataset, so no gatekeeper is named for its own data.
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 datasets were generated or analysed during the current study.”
The paper does not commit to any timeline for its own data since none were generated.
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 datasets were generated or analysed during the current study.”
No file format is named for the paper's own data because no dataset was generated.
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 datasets were generated or analysed during the current study.”
No community standard is applied to the paper's own data because no dataset was generated.
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 associated public GitHub repositories include: https:// github. com/ Expos uresP rovid er/ icees- api; https:// github. com/ Expos uresP rovid er/ FHIR- PIT; https:// github. com/ NCTra CSIDS ci/ camp- fhir.”
The paper provides URLs to GitHub repositories for the code used in the study, which are identifiers for resources other than the paper's own dataset. [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 datasets were generated or analysed during the current study.”
No reuse license is attached to the paper's own data because no dataset was generated.
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 datasets were generated or analysed during the current study.”
No version token or date is given for the paper's own data because none was generated.
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 locator is given for the study's own analysis code; the GitHub URLs provided are for the ICEES service, not the analysis code. [majority verdict 'no' (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)
“This project was funded with awards from the National Center for Advancing Translational Sciences, National Institutes of Health [OT3TR002020, OT2TR003430, UL1TR002489, UL1TR002489-03S4, OT2TR003428].”
The paper includes specific grant numbers from the NIH, which are award identifiers.
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 datasets were generated or analysed during the current study.”
No production record is given for the paper's own data because no dataset was generated.
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 datasets were generated or analysed during the current study.”
No documentation object is named for the paper's own data because no dataset was generated.
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
0
From 0 citing papers with measurable signal
This paper's DataRank is currently driven only by its base citation score. None of the citing papers had measurable citation signal.
Learn more about DataRank methodology →NCATS NIH HHS
Grant: OT2 TR003430
NIH National Institutes of Health & NCATS National Center for Advancing Translational Sciences
Grant: OT2-TR003430
NIH National Institutes of Health & NCATS National Center for Advancing Translational Sciences
Grant: OT2-TR003428
NIH National Institutes of Health & NCATS National Center for Advancing Translational Sciences
Grant: OT3-TR002020
NIH National Institutes of Health & NCATS National Center for Advancing Translational Sciences
Grant: UL1-TR002489-03S4
NIH National Institutes of Health & NCATS National Center for Advancing Translational Sciences
Grant: UL1-TR002489
NCATS NIH HHS
Grant: UM1 TR004406
National Institutes of Health
Grant: 5UM1TR004406-02
North Carolina Translational and Clinical Sciences Institute (NC TraCS)
National Institutes of Health
Grant: 3OT2TR003428-01S4
Biomedical Data Translator Development of Autonomous Relay Agent: ARAX
National Institutes of Health
Grant: 3OT3TR002020-01S2
Biomedical Data Translator Technical Feasibility Assessment and Architecture Design
National Institutes of Health
Grant: 3UL1TR002489-02S1
North Carolina Translational and Clinical Science Institute (NC TraCS)
National Institutes of Health
Grant: 1OT2TR003430-01
ICEES+ Knowledge Provider: Leveraging Open Clinical and Environmental Data to Accelerate and Drive Innovation in Translational Research and Clinical Care.
FWCI
1.94
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals