CRISPRoffT: comprehensive database of CRISPR/Cas off-targets is a dataset published in Nucleic Acids Research (2024). On theSindex it has a DataRank of 0.819, placing it in the top 24.6% of the data-sharing corpus. It has been cited 29 times, with 29 citing works in its 1-hop citation network. Its calibrated FAIR score is 42/100.
Ranks in the top 25% 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.
“CRISPRoffT ( https://ccsm.uth.edu/CRISPRoffT/ )”
The paper gives a web URL for the data, not a string in a persistent-identifier scheme. [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'
“CRISPRoffT ( https://ccsm.uth.edu/CRISPRoffT/ )”
The data are held at an institutional website, not a named repository from the curated list. [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
“All data and results can be downloaded from the CRISPRoffT website ( https://ccsm.uth.edu/CRISPRoffT/ ).”
The dataset identifier (URL) appears only in body text, not as a reference-list entry. [majority verdict 'partial' (3/5 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 data and results can be downloaded from the CRISPRoffT website ( https://ccsm.uth.edu/CRISPRoffT/ ).”
The statement points to a website, not a repository record with an accession. [majority verdict 'partial' (3/5 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
“CRISPRoffT integrates results of off-target analysis from 74 studies, encompassing 29 experimental prediction techniques, 368 guide sequences, 226 164 potential guide and off-target pairs and 8840 validated off-targets.”
The dataset content is described in running prose, not in an itemised inventory.
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 and results can be downloaded from the CRISPRoffT website ( https://ccsm.uth.edu/CRISPRoffT/ ).”
The text gives a route to the data with no stated 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 data and results can be downloaded from the CRISPRoffT website (https://ccsm.uth.edu/CRISPRoffT/).”— not found in the paper; verdict downgraded
The paper describes an access action (download) but does not apply an explicit access-level label. [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
“All data and results can be downloaded from the CRISPRoffT website (https://ccsm.uth.edu/CRISPRoffT/).”— not found in the paper; verdict downgraded
The data are not sensitive or human-subject; 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
“All data and results can be downloaded from the CRISPRoffT website ( https://ccsm.uth.edu/CRISPRoffT/ ).”
The text states that the data are available now but says nothing about persistence. [majority verdict 'partial' (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'
“All data and results can be downloaded from the CRISPRoffT website (https://ccsm.uth.edu/CRISPRoffT/).”— not found in the paper; verdict downgraded
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 standard (e.g., minimum information checklist, ontology) is named for 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'
No identifier for an external resource (e.g., another dataset, database) is provided.
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 licence is stated for 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'
“In order to maintain CRISPRoffT as a cutting-edge CRISPR/Cas off-target database, we will continuously collect and update new data every 6 months.”
No version token or date is given for the current 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'
No code locator is provided 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)
“National Institute of General Medical Sciences [R35GM151089 to Q.S., R35GM138184 to P.K.]; National Institutes of Health [R01LM014156, R01CA241930, R01GM153822 to X.Z.]; National Science Foundation [2217515, 2326879 to X.Z.]”
Award numbers are given for the funding.
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
“Off-target sequences with missing or incorrect genomic coordinates were aligned to a species-appropriate reference genome using Bowtie1 (48) and annotated with accurate coordinates.”— not found in the paper; verdict downgraded
Specific tools (Bowtie1, bedtools, etc.) are named for data production. [downgraded to 'partial' — no verifiable quote from the paper]
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 (README, codebook) is named as accompanying the data. [majority verdict 'no' (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
0.510
From this paper's citation signal
Citation Network Contribution
0.309
From 17 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 29 citers.
National Institute of General Medical Sciences
Grant: R35GM151089
National Institute of General Medical Sciences
Grant: R35GM138184
National Institutes of Health
Grant: R01LM014156
National Institutes of Health
Grant: R01CA241930
National Institutes of Health
Grant: R01GM153822
National Science Foundation
Grant: 2217515
Developing Random Field based novel approaches for spatial transcriptomics
National Science Foundation
Grant: 2326879
Developing novel machine learning approaches to studying cell development
National Institutes of Health
Grant: 5R01CA241930-03
Multiscale Resolution and Deep Network Approaches for Deconvolving Different Cell Types in Bulk Tumor using Single-cell Sequencing Data (scDEC)
National Institutes of Health
Grant: 5R01GM153822-02
Developing mRNAdesigner tool package for optimization of mRNA sequence
National Institutes of Health
Grant: 5R01LM014156-02
Optimizing mRNA sequences with deep neural networks
National Institutes of Health
Grant: 5R35GM138184-05
Functional annotation of new genes aided by deep learning
National Institutes of Health
Grant: 5R35GM151089-03
Multi-modal insights of spatially distributed cells with associations of diseases and drug response
FWCI
4.85
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords