Multicenter integrated analysis of noncoding CRISPRi screens is a dataset published in Nature Methods (2024). On theSindex it has a DataRank of 1.0, placing it in the top 19.7% of the data-sharing corpus. It has been cited 54 times, with 38 citing works in its 1-hop citation network. Its calibrated FAIR score is 52/100.
Ranks in the top 20% 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 Gitr regulatory T cell screening data can be found at https://www.dropbox.com/scl/fo/7q92wt7zyejfkwetsgsr6/h?rlkey=30ytwfaazty33bz3ez30coiy8&dl=0”— not found in the paper; verdict downgraded
The only identifier string in the text is a Dropbox URL, which is not a persistent identifier scheme. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (2/5 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'
“All CRISPR screen datasets used in this study are available in the online ENCODE portal”
The ENCODE portal is a named data repository, listed in re3data and 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
“Yao, D., Tycko J. & Reilly, S. K. Genome-wide ENCODE SCREEN cCRE GuideScan sgRNAs libraries. Zenodo https://doi.org/10.5281/ZENODO.10456224 (2024)”— not found in the paper; verdict downgraded
The dataset's identifier (DOI) appears as a reference-list entry in the bibliography. [downgraded to 'partial' — no verifiable quote from the paper] [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
“All CRISPR screen datasets used in this study are available in the online ENCODE portal, and accession IDs are included in Supplementary Table 1”
The statement points to a repository (ENCODE portal) with accession IDs, matching Colavizza category 3. [majority verdict 'yes' (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
“We present a diverse set of >100 noncoding CRISPR screens, all of which are available in the ENCODE portal15 (see Supplementary Information Section 2) and 35% of which are first published here (Fig. 1a and Supplementary Tables 1–3). The data used in this study include three targeting approaches: (1) unbiased tiling screens ... (2) screens that select sgRNAs targeting cCREs in a given locus ... (3) screens that target cCREs in multiple loci or across the genome.”— not found in the paper; verdict downgraded
The dataset is described in running prose, not in an itemised inventory (section, table, or list). [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (2/5 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 CRISPR screen datasets used in this study are available in the online ENCODE portal”
The text gives a route to the data (ENCODE portal) with no stated precondition such as a request, embargo, or registration.
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 CRISPR screen datasets used in this study are available in the online ENCODE portal”
The text describes the action of accessing the data at the ENCODE portal but does not apply an explicit access-level label (e.g., 'open access', 'restricted').
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 from human cell lines, not human subjects, and no gatekeeper is mentioned.
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 availability timing but does not state 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'
The paper does not name a file format for the released data; terms like 'bigWig' and 'bedgraph' appear only in methods description, not for the data deposit.
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, BIDS, an ontology) is named in the text. [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'
No identifier for an external resource (e.g., another dataset's accession, a genome build ID) is quoted in the text. [majority verdict 'no' (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'
The paper's Creative Commons licence applies to the article, not to the data; 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'
“November 2022 data release”
A date is given to pin the snapshot, but no version token. [majority verdict 'partial' (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'
“The code for CASA can be found at https://github.com/sjgosai/casa”
A machine-resolvable locator (GitHub URL) is given for the study's own code. [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)
“DGE-1656518”
A specific grant number (NSF GRFP DGE-1656518) is given in the acknowledgements.
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
“Libraries were sequenced on an Illumina MiSeq using 20-bp single-end reads”
The paper names a specific instrument (Illumina MiSeq) used to produce the data. [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
No documentation object (README, codebook) is named as accompanying the data. [majority verdict 'no' (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
0.601
From this paper's citation signal
Citation Network Contribution
0.428
From 28 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 38 citers.
U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute
Grant: UM1HG009435
National Institutes of Health
Grant: 5R01HG012872-03
Multi-scale functional dissection and modeling of regulatory variation associated with human traits
National Institutes of Health
Grant: 5R00HG009917-04
Systematic mapping and prediction of gene-enhancer connections
National Institutes of Health
Grant: 5U01HG009431-04
Decoding the regulatory architecture of the human genome across cell types, individuals and disease
National Institutes of Health
Grant: 5U01HG012103-03
Deciphering the Genomics of Gene Network Regulation of T Cell and Fibroblast States in Autoimmune Inflammation
National Institutes of Health
Grant: 5R01MH125236-05
Beyond GWAS: High Throughput Functional Genomics & Epigenome Editing to Elucidate the Effects of Genetic Associations for Schizophrenia
National Institutes of Health
Grant: 1U24HG009397-01
A Data Coordinating Center for ENCODE
National Institutes of Health
Grant: 5RM1HG011123-03
The Duke FUNCTION Center: Pioneering the comprehensive identification of combinatorial noncoding causes of disease
National Institutes of Health
Grant: 4K00DK126120-03
High-throughput dissection of transcriptional regulation in kidney disease
National Institutes of Health
Grant: 3U01HG009380-04S1
Systematic Identification of Core Regulatory Circuitry from ENCODE Data
National Science Foundation
Grant: 2238831
CAREER: Molecular mechanisms, algorithms and software for design and analysis of genome perturbation experiments
National Institutes of Health
Grant: 5R01HG010741-03
Quantifying the genetic diversity of human regulatory element activity
National Institutes of Health
Grant: 4R00HG010669-03
Comprehensive Characterization of Adaptive Regulatory Variation Linked to Human Disease
National Institutes of Health
Grant: 5UM1HG012053-04
High-Throughput Functional Annotation of Gene Regulatory Elements and Variants Critical to Complex Cellular Phenotypes
National Institutes of Health
Grant: 5U24HG009446-04
EDAC: ENCODE Data Analysis Center
National Institutes of Health
Grant: 5U01HG009395-03
Encoding genomic architecture in the encyclopedia: linking DNA elements, chromatin state, and gene expression in 3D
National Institutes of Health
Grant: 5UM1HG009436-02
High-throughput systematic characterization of regulatory element function
National Institutes of Health
Grant: 1UM1HG009435-01
Comprehensive functional characterization and dissection of noncoding regulatory elements and human genetic variation
National Institutes of Health
Grant: 1UM1HG009402-01
High throughput CRISPR-mediated functional validation of regulatory elements
National Science Foundation
Grant: 2139754
Graduate Research Fellowship Program (GRFP)
National Institutes of Health
Grant: 5UM1HG009428-03
Regulatory Mechanisms of CD4+ T Cell Differentiation
National Science Foundation
Grant: 1830957
EFRI CEE : Engineering Technologies to Determine Causal Relationships Between Chromatin Structure and Gene Regulation
Fields of Study
Keywords