Development and validation of natural language processing algorithms in the national ENACT network is a dataset published in Journal of Clinical and Translational Science (2025). On theSindex it has a DataRank of 0, placing it in the top 100% of the data-sharing corpus. Its calibrated FAIR score is 4/100.
Ranks in the top 100% 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 assigns no persistent identifier to its own dataset; the article DOI is for the paper.
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 repository is named as holding the study's own data; the paper states the data cannot be shared.
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 study's own dataset appears 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 patient-level electronic health record data cannot be shared due to privacy and legal concerns.”
The data-availability statement declares the data cannot be shared, offering no route, which corresponds to Colavizza category 0.
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
The paper does not provide an itemised inventory of files, records, or variables for the 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'
“The patient-level electronic health record data cannot be shared due to privacy and legal concerns.”
The paper explicitly states the data cannot be shared, so no followable route exists.
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 patient-level electronic health record data cannot be shared due to privacy and legal concerns.”
The paper declares the data cannot be shared, so no access level label is applied.
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 patient-level electronic health record data cannot be shared due to privacy and legal concerns.”
The paper states the data cannot be shared and names no gatekeeper of any kind.
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'
No file format is named for the released data; the paper does not describe a dataset with files.
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 broadly recognized data/metadata community standard is explicitly applied to the data; the ENACT ontology is network-specific and not a registered standard in FAIRsharing. [majority verdict 'no' (2/5 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 OHNLP Toolkit is available at the OHNLP website (https://ohnlp.org/).”
The paper provides a URL for the OHNLP Toolkit, a software resource other than the study's own dataset. [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 license is named for the data; the article's CC-BY license applies to the paper, 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'
Neither a version token nor a date is given to identify a snapshot of the data.
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-forge URL, archive DOI, or package identifier is given for the study's own algorithms; only a non-specific mention of GitHub. [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)
“The research reported in this publication was supported by the National Institutes of Health under award numbers U01TR002062, UL1TR001998, UM1TR004906, U01TR002628, UL1TR003163, UL1TR001857, U24TR004111, 30TR002103, UL1TR002001, UL1TR002377, and UM1TR004407 from the National Center for Advancing Translational Sciences, award numbers RF1AG072799, R01AG060993, R01AG077017, and R01AG068007 from the National Institute on Aging, award number R01LM014306 from the National Library of Medicine, award number R01GM141476 from the National Institute of General Medical Sciences, and the Reynolds and Reynolds Foundation.”
The paper lists multiple specific award numbers from named funders.
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 site deploys the OHNLP Toolkit”— not found in the paper; verdict downgraded
The paper names the OHNLP Toolkit as the specific software used to process the data. [downgraded to 'partial' — no verifiable quote from the paper] [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 such as a README or codebook is named as accompanying 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 →
NIA NIH HHS
Grant: R01 AG068007
NLM NIH HHS
Grant: R01 LM014573
NINDS NIH HHS
Grant: R01 NS124882
NLM NIH HHS
Grant: R01 LM014306
NLM NIH HHS
Grant: R01 LM014344
NCI NIH HHS
Grant: R01 CA289249
NINDS NIH HHS
Grant: R01 NS098023
National Institutes of Health
Grant: 5UM1TR004407-02
Scripps Clinical and Translational Science Hub
National Institutes of Health
Grant: 3UL1TR002377-04S5
Mayo Clinic Center for Clinical and Translational Science (CCaTS UL1 Supplement - Dr. Regan Theiler)
National Institutes of Health
Grant: 5U01TR002628-05
Enhancing Infrastructure for Clinical and Translational Research to Address the Opioid Epidemic
National Institutes of Health
Grant: 5UL1TR003163-05
UT Southwestern Center for Translational Medicine
National Institutes of Health
Grant: 5U24TR004111-03
ENACT: Translating Health Informatics Tools to Research and Clinical Decision Making
National Institutes of Health
Grant: 1R01GM141476-01
A Network Science Approach to Conflicts of Interest: Metrics, Policies, and Communication Design
National Institutes of Health
Grant: 5R01AG060993-03
Automating Delirium Identification and Risk Prediction in Electronic Health Records
National Institutes of Health
Grant: 5U01TR002062-02
Open Health Natural Language Processing Collaboratory
National Institutes of Health
Grant: 1UM1TR004906-01
Center for Clinical and Translational Sciences
National Institutes of Health
Grant: 1RF1AG072799-01
Facilitate Observational Studies of Alzheimer's Disease and Alzheimer's Disease-Related Dementias Using Ontology and Natural Language Processing
National Institutes of Health
Grant: 5R01AG068007-02
Early Detection of Mild Cognitive Impairment, Alzheimer's Disease and Other Dementias using EHR
National Institutes of Health
Grant: 5UL1TR002001-08
The University of Rochester Clinical and Translational Science Award Hub
National Institutes of Health
Grant: 1R01LM014306-01
Closing the loop with an automatic referral population and summarization system
National Institutes of Health
Grant: 5UL1TR001998-02
Kentucky Center for Clinical and Translational Science
National Institutes of Health
Grant: 5R01AG077017-04
SCH: Digital Biomarker and Analytics for Cognitive Impairment with Mobile and Wearable Sensing
National Institutes of Health
Grant: 3UL1TR001857-07S1
University of Pittsburgh Clinical and Translational Science Institute
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