Topography of mutational signatures in human cancer is a dataset published in Cell Reports (2023). On theSindex it has a DataRank of 0.929, placing it in the top 21.8% of the data-sharing corpus. It has been cited 46 times, with 36 citing works in its 1-hop citation network. Its calibrated FAIR score is 63/100.
Ranks in the top 22% 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.
“All topographical data and figures regarding topography of mutational signatures in human cancer generated in this study have been deposited at COSMIC, Catalog of Somatic Mutations in Cancer ( https://cancer.sanger.ac.uk/signatures/ ), through COSMIC Signatures v3.3, released on May 27 th , 2022 and are currently publicly available.”
The only identifier given is a URL (https://cancer.sanger.ac.uk/signatures/) which is not a persistent identifier scheme (DOI, Handle, ARK, URN, or repository accession pattern).
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 topographical data and figures regarding topography of mutational signatures in human cancer generated in this study have been deposited at COSMIC, Catalog of Somatic Mutations in Cancer”
COSMIC is a well-known data repository registered 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
“All topographical data and figures regarding topography of mutational signatures in human cancer generated in this study have been deposited at COSMIC, Catalog of Somatic Mutations in Cancer ( https://cancer.sanger.ac.uk/signatures/ ), through COSMIC Signatures v3.3, released on May 27 th , 2022 and are currently publicly available.”
The dataset's identifier (URL and version) appears only in the body text, not as a reference-list entry.
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 topographical data and figures regarding topography of mutational signatures in human cancer generated in this study have been deposited at COSMIC, Catalog of Somatic Mutations in Cancer ( https://cancer.sanger.ac.uk/signatures/ ), through COSMIC Signatures v3.3, released on May 27 th , 2022 and are currently publicly available.”
The statement points to a repository (COSMIC) with a link, which is a Colavizza category 3 link to archived data.
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
“Our evaluation encompassed examining the effects of nucleosome occupancy, histone modifications, CTCF binding sites, replication timing, transcription strand asymmetry, and replication strand asymmetry on the accumulation of somatic mutations from more than 70 distinct mutational signatures.”
The dataset content is described in running prose but not itemised in a section, table, or enumerated list. [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 topographical data and figures regarding topography of mutational signatures in human cancer generated in this study have been deposited at COSMIC, Catalog of Somatic Mutations in Cancer ( https://cancer.sanger.ac.uk/signatures/ ), through COSMIC Signatures v3.3, released on May 27 th , 2022 and are currently publicly available.”
The text gives a route (COSMIC) with no stated precondition; the data are 'publicly available' immediately.
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
“are currently publicly available”
The paper states that the data are 'publicly available', which is an explicit access-level label.
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 requiring controlled access, and 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
“released on May 27 th , 2022 and are currently publicly available”
The paper states the release date and current availability but does not commit to any retention period or permanent archiving.
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
“SBS-96, DBS-78, and ID-83 mutational classification schemas”
The paper names standard mutational classification schemas (SBS-96, DBS-78, ID-83) which are community data standards. [majority verdict 'yes' (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'
“https://doi.org/10.6084/m9.figshare.22744733”
The paper provides a DOI for the MUTOGRAPHS project dataset, which is an external resource used by the study.
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 license is stated for the data; the CC BY license applies to the article only.
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'
“COSMIC Signatures v3.3”
The data release is identified by a version token: 'v3.3'.
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'
“https://github.com/AlexandrovLab/SigProfilerTopography”
The paper provides a GitHub URL for the custom code, which is a machine-resolvable locator.
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)
“R01ES030993”
Specific grant numbers (e.g., R01ES030993) are given for the funding. [majority verdict 'yes' (3/5 passes agreed)]
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
“SigProfilerExtractor was utilized for de novo extraction of mutational signatures”
The paper names specific software tools (SigProfilerExtractor, SigProfilerSimulator) used to produce the data.
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
“our analysis leverages 516 unique tissue-matched topographical features from the ENCODE project ( Table S1 )”— not found in the paper; verdict downgraded
Supplementary Table S1 lists the topographical features, providing variable-level documentation inside the article. [downgraded to 'no' — no verifiable quote from the paper]
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
0.578
From this paper's citation signal
Citation Network Contribution
0.352
From 20 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 36 citers.
Cancer Research UK
Grant: C98/A24032
National Cancer Institute
Grant: R01CA269919
NIEHS
Grant: R01ES030993
NIEHS
Grant: R01ES032547
Wellcome Trust
Grant: 108413/A/15/D
Wellcome Trust
Grant: 63/492,348
Wellcome Trust
Grant: 63/483,237
Wellcome Trust
Grant: 63/289,601
Wellcome Trust
Grant: 63/412,835
Wellcome Trust
Grant: 63/269,033
Wellcome Trust
Grant: 63/366,392
Cancer Research UK
Grant: 24032
Wellcome Trust
Grant: 108413
WTSI Science and IT Platforms, Translation, Administration and Estates
National Institutes of Health
Grant: 5R01ES032547-02
Detecting Mutational Signatures of Environmental Mutagens in Heathy Individuals for Personalized Cancer Prevention
National Institutes of Health
Grant: 5R01CA269919-03
Comprehensive identification of germline-somatic interactions
National Institutes of Health
Grant: 5R01ES030993-05
Mutational Signatures of a Combined Environmental Exposure: Arsenic and Ultraviolet Radiation
David and Lucile Packard Foundation
National Institutes of Health
Wellcome Trust
Wellcome Trust
FWCI
4.86
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals