CryoDataBot: a pipeline to curate cryoEM datasets for AI-driven structural biology is a dataset published in GigaScience (2025). On theSindex it has a DataRank of 0.104, placing it in the top 77.8% of the data-sharing corpus. It has been cited 1 time. Its calibrated FAIR score is 50/100.
Ranks in the top 78% for downstream scientific impact
Linked data & code
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.
“10.5524/102765”
The dataset is assigned a DOI (10.5524/102765) in the reference list, which is 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'
“All data that support this study are available in GigaScience repository, GigaDB [37].”— not found in the paper; verdict downgraded
GigaDB (GigaScience Database) is a named data repository. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (4/5 passes agreed)]
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
“Xu Q, Wu L, Rebelo M, et al. Supporting data for “CryoDataBot: A Pipeline to Curate CryoEM Datasets for AI-Driven Structural Biology.” GigaScience Database. 2025. 10.5524/102765.”— not found in the paper; verdict downgraded
The dataset appears as a reference-list entry (reference 37) with a DOI. [downgraded to 'partial' — no verifiable quote from the paper]
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 data that support this study are available in GigaScience repository, GigaDB [37].”— not found in the paper; verdict downgraded
The statement points to a repository record (GigaDB) with a reference entry, which is Colavizza category 3. [downgraded to 'partial' — no verifiable quote from the paper]
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 entries of the cryoEM maps and their corresponding atomic models used in this study are listed in the supplementary tables.”
The dataset's content (the list of EMDB entries) is described in a sentence, but no itemised inventory of the deposited dataset's files or variables is given. [majority verdict 'partial' (3/5 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 data that support this study are available in GigaScience repository, GigaDB [37].”— not found in the paper; verdict downgraded
The statement points to a public repository with no precondition mentioned. [downgraded to 'partial' — no verifiable quote from the paper]
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 data that support this study are available in GigaScience repository, GigaDB [37].”— not found in the paper; verdict downgraded
The paper states where the data can be obtained but does not apply an explicit access-level label such as 'open access' or 'freely available'. [downgraded to 'no' — no verifiable quote from the paper]
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 human-subject or sensitive, and no gatekeeper of any kind is named; the data are openly available.
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 in the paper states when the data become available (timing) or how long they persist (retention).
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. [majority verdict 'no' (4/5 passes agreed)]
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 data or metadata community standard (e.g., MIAME, GO, BIDS) is named as being applied to the study's own dataset. [majority verdict 'no' (4/5 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'
“EMD-2875”
The paper provides identifiers for third-party resources: EMDB IDs, PDB IDs, and the code repository (GitHub URL and WorkflowHub DOI).
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 reuse licence or terms document is named for the deposited dataset; the CC-BY licence applies only to the article.
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 deposited dataset itself; only retrieval dates for the source data are stated. [majority verdict 'no' (3/5 passes agreed)]
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'
“Project homepage: https://github.com/t00shadow/CryoDataBot”
The study's code is available via a GitHub repository and a WorkflowHub DOI, both machine-resolvable locators.
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)
“R01GM071940”
The paper provides specific grant numbers from the NIH and NSF.
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
“We developed CryoDataBot”
The tool (CryoDataBot) used to produce the data is named, along with specific software and parameters (e.g., CuPy, Python 3.10). [majority verdict 'yes' (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
“Detailed metadata and a summary of the filtration process are provided in the supplementary tables.”
Variable/file definitions are inside the article (supplementary tables), not shipped with the data. [majority verdict 'partial' (3/5 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
0.104
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →US National Institutes of Health
Grant: R01GM071940 to Z.H.Z.
US National Institutes of Health
Grant: R01GM133840
National Science Foundation
Grant: IIS2211598
NIGMS NIH HHS
Grant: R01 GM071940
FWCI
1.08
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords