PRECISION.array: An R Package for Benchmarking microRNA Array Data Normalization in the Context of Sample Classification is a dataset published in Frontiers in Genetics (2022). On theSindex it has a DataRank of 0, placing it in the top 100% of the data-sharing corpus. Its calibrated FAIR score is 21/100.
Ranks in the top 100% 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 full datasets can be loaded from the PRECISION.array.DATA package (https://github.com/LXQin/PRECISION.array.DATA).”— not found in the paper; verdict downgraded
The paper provides a URL for the data, which is not a persistent identifier scheme (DOI, Handle, etc.). [downgraded to 'no' — no verifiable quote from the paper]
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'
“The full datasets can be loaded from the PRECISION.array.DATA package (https://github.com/LXQin/PRECISION.array.DATA).”— not found in the paper; verdict downgraded
The holder is GitHub, a non-repository host (not a curated data archive listed in re3data/FAIRsharing). [downgraded to 'no' — no verifiable quote from the paper]
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
“The full datasets can be loaded from the PRECISION.array.DATA package (https://github.com/LXQin/PRECISION.array.DATA).”— not found in the paper; verdict downgraded
The dataset identifier (GitHub URL) appears only in the body text, not in a reference list entry. [downgraded to 'no' — 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
“Publicly available datasets were analyzed in this study. This data can be found here: https://github.com/LXQin/PRECISION.array.DATA.”— not found in the paper; verdict downgraded
The statement gives a link to a GitHub repository, which is not a repository record with an accession or DOI. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (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
“It includes two microRNA microarray datasets for the same set of tumor samples: a re-sampling-based algorithm for simulating additional paired datasets under various designs of sample-to-array assignment and levels of signal-to-noise ratios”
The dataset content is described in running prose, but there is no itemised inventory (section, table, or list) of files or variables. [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'
“Publicly available datasets were analyzed in this study. This data can be found here: https://github.com/LXQin/PRECISION.array.DATA.”— not found in the paper; verdict downgraded
The text states the data are publicly available and gives a direct link with no stated precondition. [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
“Publicly available datasets were analyzed in this study.”
The paper explicitly labels the data as 'Publicly available', which is a standard access-level label. [majority verdict 'yes' (4/5 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
“Publicly available datasets were analyzed in this study.”
The data are human subjects but are openly accessible, and no gatekeeper of any kind 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
“Publicly available datasets were analyzed in this study.”
The paper states the data are publicly available now but makes no commitment to how long they will persist. [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'
The paper does not specify any file format for the released datasets.
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., MIAME, ontology) is named in the paper.
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'
The paper does not provide an identifier for any external resource (e.g., another dataset, database, or code) that the data depend on.
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 only states the license for the article (CC BY), not for the data itself.
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 snapshot date is provided for the data.
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 R package can be downloaded freely at https://github.com/LXQin/PRECISION.array.”
The paper gives a machine-resolvable GitHub URL for the 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)
“This work was partially supported by National Institutes of Health Grants No. HG012124, CA214845, and CA008748.”
The paper includes award/grant numbers linked to a named funder.
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 utilized two datasets from the same set of tumor samples using Agilent microarrays for microRNAs (miRNAs)”
The paper names the specific instrument platform (Agilent microarrays) 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
No documentation object (README, dictionary, 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 →
National Institutes of Health
Grant: HG012124 CA214845 CA008748
NCI NIH HHS
Grant: P30 CA008748
NHGRI NIH HHS
Grant: R21 HG012124
National Institutes of Health
Grant: 1R21HG012124-01
Evaluation and Development of Statistical Methods for Data Harmonization in Molecular Prognostication
National Institutes of Health
Grant: 5R21CA214845-02
Statistical Evaluation and Selection of Normalization Methods for microRNA Sequencing Data in Cancer Biomarker Studies
National Institutes of Health
Grant: 2P30CA008748-43
MOUSE GENETICS
FWCI
0.00
Citation Percentile
0.1%
Fields of Study
Keywords