bioRxivJClub
A collaborative submission model for building high-quality data resources at scale through partnership: lessons from single-cell genomics
bioRxiv · · Preprint · Open access
Hilton, Chaffer + 9 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
CZ CELLxGENE Discover scaled into a widely used single-cell genomics community resource by pairing contributors with dedicated curators to improve metadata quality and richness.
- Why it matters: Aggregating datasets across studies is essential for biomedical discovery and for rapidly advancing AI, but systematic metadata capture is costly and limits growth.
- What they did: The program uses a collaborative submission model in which contributors work with resource curators to standardize and enrich metadata while keeping submission burden low.
- The result: Compared with contributor-driven and resource-driven approaches, the partnership model improves data quality and metadata accuracy, offering a framework for building high-quality community resources across biological data types.
The findingWhy it mattersWhat they didThe result
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- Open access
- 1 cites