Provenance — who produced it, who reused it
Linked to 1 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.
- Ultrashort and progressive 4sU-tagging reveals key characteristi... 2012 · 172 cites
Deep data QC
33/100 · FStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Human 36 bp RNA-seq showing severely degraded quality metrics (Q30: 9%, mean 16) and zero GC content detected (GC: 0%), indicating data corruption, metadata error, or failed sequencing. This dataset is unsuitable for any downstream analysis without complete quality reassessment. Recommendation: verify with raw files or exclude from reuse analysis.
The F 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