The K-mer antibiotic resistance gene variant analyzer (KARGVA) is a dataset published in Frontiers in Microbiology (2023). On theSindex it has a DataRank of 0.413, placing it in the top 44.7% of the data-sharing corpus. It has been cited 10 times, with 6 citing works in its 1-hop citation network. Its calibrated FAIR score is 67/100.
Ranks in the top 45% 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.
“KARGVA is publicly available at https://github.com/DataIntellSystLab/KARGVA under MIT license.”
The data are identified by a web URL (GitHub), not a persistent identifier scheme.
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'
“KARGVA is publicly available at https://github.com/DataIntellSystLab/KARGVA under MIT license.”
The data are hosted on GitHub, which is a code-hosting platform but 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
“KARGVA is publicly available at https://github.com/DataIntellSystLab/KARGVA under MIT license.”
The dataset identifier (GitHub URL) appears only in body text, not in the reference list. [majority verdict 'partial' (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
“KARGVA code can be found here: https://github.com/DataIntellSystLab/KARGVA”— not found in the paper; verdict downgraded
The data availability statement points to a public repository (GitHub) with a direct link to the code, which is a persistent link to archived data in a public repository. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (2/5 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
“The KARGV A ARGV database integrates 1,159 single-point, and 95 multiple-point ARGVs from CARD (January 2021 release); and 654 single-point ARGVs from NDARO 3.10, respectively... After merging identical sequences, the final KARGV A database includes 1,781 ARGVs.”— not found in the paper; verdict downgraded
The dataset's content is described in running prose, not in an itemised inventory section or table. [downgraded to 'no' — no verifiable quote from the paper]
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'
“KARGVA is publicly available at https://github.com/DataIntellSystLab/KARGVA under MIT license.”
The text gives a route to the data with no stated precondition; it is open and freely available.
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
“KARGVA is publicly available at https://github.com/DataIntellSystLab/KARGVA under MIT license.”
The paper labels the data as 'publicly available', a natural-language equivalent of 'open access'.
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 data are not sensitive human-subject data; 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 how long the data will remain available or a persistence commitment. [majority verdict 'no' (3/5 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 for the released data is named anywhere in the text.
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 community standard (e.g., MIAME, MIxS, an ontology) is named as 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'
“MEGARes 2.0 can be found here: https://www.meglab.org/megares/download/.”
The paper gives a URL identifier for the MEGARes database, a resource other than its own data. [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'
“KARGVA is publicly available at https://github.com/DataIntellSystLab/KARGVA under MIT license.”
The MIT license is an open standard license, fulfilling class 1.
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 for the released data snapshot.
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'
“KARGVA is publicly available at https://github.com/DataIntellSystLab/KARGVA under MIT license.”
A machine-resolvable code repository URL is given for the study's own code.
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 in part supported by US grants NIH NIAID R01AI141810, NSF SCH 2013998, and USDA AFRI 2019-67017-29110.”
Award numbers are provided for the 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
“KARGV A integrates ARGV sequences from three different ARG databases: CARD, MEGARes, and NDARO.”— not found in the paper; verdict downgraded
The data production is described in generic terms without naming specific instruments or kits. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (4/5 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
“The GitHub folder includes a detailed README with information about database version, set up of input parameters (k-mer length, number of random queries to determine false positive threshold, ARGV reference file, read file, single vs. multiple ARGV scoring per read), and output file description.”— not found in the paper; verdict downgraded
A README file is named as travelling with the data, providing documentation. [downgraded to 'partial' — no verifiable quote from the paper] [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
0.360
From this paper's citation signal
Citation Network Contribution
0.0533
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 6 citers.
NIAID NIH HHS
Grant: R01 AI145552
NIAID NIH HHS
Grant: R01 AI141810
National Institutes of Health
Grant: 5R01AI145552-02
Forecasting trajectories of HIV transmission networks with a novel phylodynamic and deep learning framework
National Science Foundation
Grant: 2013998
SCH: INT: Enabling real time surveillance of antimicrobial resistance
National Institutes of Health
Grant: 1R01AI141810-01
Developing Computational Methods for Surveillance of Antimicrobial Resistant Agents
Fields of Study
Keywords