AntiRef: reference clusters of human antibody sequences is a dataset published in Bioinformatics Advances (2023). On theSindex it has a DataRank of 0.362, placing it in the top 49.2% of the data-sharing corpus. It has been cited 4 times, with 4 citing works in its 1-hop citation network. Its calibrated FAIR score is 83/100.
Ranks in the top 49% 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.
“AntiRef datasets are available on Zenodo ( zenodo.org/record/7474336 ).”
The dataset location is given as a web URL, not a PID scheme (DOI, handle, etc.). [majority verdict 'partial' (4/5 passes agreed)]
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'
“AntiRef datasets are available on Zenodo ( zenodo.org/record/7474336 ).”
Zenodo is a recognised repository in re3data/FAIRsharing.
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
“Briney B. AntiRef: reference clusters of human antibody sequences. 2022 . zenodo.org/record/7474336. dataset. 10.1093/bioadv/vbad109”
The dataset appears as a reference-list entry. [majority verdict 'yes' (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
“All AntiRef datasets are available via Zenodo ( Briney 2022 ) under the CC-BY 4.0 license, which matches the license under which OAS data are released.”
The DAS points to a repository record (Zenodo) with an identifier. [majority verdict 'yes' (4/5 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
“AntiRef90 is one-third the size of the input dataset and less than half the size of the non-redundant AntiRef100.”
The dataset size is described in running prose, not in an itemised inventory. [majority verdict 'partial' (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'
“All AntiRef datasets are available via Zenodo ( Briney 2022 ) under the CC-BY 4.0 license, which matches the license under which OAS data are released.”
The text states the data are freely available on Zenodo with no precondition. [majority verdict 'yes' (3/5 passes agreed)]
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
“All AntiRef datasets are available via Zenodo ( Briney 2022 ) under the CC-BY 4.0 license, which matches the license under which OAS data are released.”
Access conditions are described only through the availability statement and license, not by an explicit access-level label. [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 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
The paper mentions bi-annual updates but not how long the data will persist. [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 is named for the released data.
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 data standard (e.g., MIAME, FAIRsharing) is named.
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 is given for external resources (e.g., OAS, MMseqs2).
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'
“CC-BY 4.0 license”
An open standard license (CC-BY 4.0) is attached to the data. [majority verdict 'yes' (4/5 passes agreed)]
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'
“current version: v2022.12.14”
A version token (v2022.12.14) 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'
“All code used to generate AntiRef is available on GitHub ( github.com/briney/antiref ).”
A machine-resolvable code repository URL is provided. [majority verdict 'yes' (3/5 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)
“R35-GM133682, P01-AI177683, U19-AI135995, R01-AI171438, UM1-AI144462”
Specific NIH grant numbers are listed.
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
“Filtered sequences were iteratively clustered using the linclust function in MMseqs2 ( Steinegger and Söding 2018 ).”
The paper names specific tools (linclust, MMseqs2) and their versions, providing provenance for data generation. [majority verdict 'yes' (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 README, data dictionary, or codebook is mentioned in the text.
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
0.241
From this paper's citation signal
Citation Network Contribution
0.120
From 3 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 4 citers.
National Institutes of Health
Grant: 3U19AI135995-04S3
Consortium for Viral Systems Biology (CViSB)
National Institutes of Health
Grant: 3UM1AI144462-02S1
Identification of neutralizing epitopes on SARS-CoV-2 spike for design of vaccines and small-molecule antivirals
National Institutes of Health
Grant: 5R01AI171438-02
Genetic, structural and functional profiling of the human antibody response to arenavirus infection
National Institutes of Health
Grant: 1R35GM133682-01
High-resolution deconvolution of selection effects on the composition of the B cell repertoire
NIAID NIH HHS
Grant: P01 AI177683
NIAID NIH HHS
Grant: R01 AI171438
NIGMS NIH HHS
Grant: R35 GM133682
NIAID NIH HHS
Grant: U19 AI135995
Fields of Study
Keywords