Provenance — who produced it, who reused it
Linked to 3 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.
3 further papers cite this accession but reuse could not be confirmed.
Deep data QC
83/100 · BStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
This is a human small-RNA (miRNA-Seq) dataset, and overall it earns a solid B (83/100) that is trustworthy rather than provisional, since the contributing metrics were all directly measured (evidence_strength=1) rather than extrapolated. The grade is held up by excellent base-level quality — 90.3% of bases at Q30, a mean base quality of 35.1, and 0% adapter contamination — meaning the reads themselves are clean, accurately called, and ready to map without aggressive trimming. The one metric pulling the score down is a 92.06% duplication rate, which scored 0; in most assays that would signal a low-complexity library, but for miRNA-Seq extreme duplication is largely expected and biologically driven, because mature miRNAs are short, few in number, and very highly expressed, so identical reads are the norm rather than evidence of PCR artifact. For reuse the practical verdict is positive: treat the high duplication as a property of the assay rather than a defect, and the clean, high-quality, adapter-free reads make this dataset reliable for miRNA quantification and differential-expression analysis.
The B grade is a transparent weighted average. Each metric below scored from 0–100% against the published bulk-RNA-seq thresholds, weighted by its importance; nothing is hidden or subjective.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0
Scientific quality
Based on hands-on reproduction of the papers that use this dataset. A reproducible paper that stands on this data is positive evidence; a flagged one is a prompt to look closer — never a verdict on the dataset itself without the evidence.