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ekorpela authored Jul 4, 2024
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As single-cell and spatial technologies continue to advance, an increasing number of analysis tools become available to researchers. Consequently, there is a growing need for datasets and methods that support systematic benchmarking and evaluation of these tools. Validating and benchmarking analysis tools for single-cell measurements has been listed as one of the "Eleven grand challenges in single-cell data science" by [*Lähnemann et al. (2020)*](https://pubmed.ncbi.nlm.nih.gov/32033589/).

The ELIXIR Single-Cell Omics Community facilitates benchmarks, sets standards of evaluation, and engages with the community to benchmark particular tasks. For example, we organized [*SpaceHack 2.0*] (https://www.denbi.de/de-nbi-events/1608-spacehack-2-0) which included the following focus areas, among others:
The ELIXIR Single-Cell Omics Community facilitates benchmarks, sets standards of evaluation, and engages with the community to benchmark particular tasks. For example, we organized [*SpaceHack 2.0*](https://www.denbi.de/de-nbi-events/1608-spacehack-2-0) which included the following focus areas, among others:
- investigating evaluation metric (e.g. ARI, NMI) with a focus on novel metrics and qualitative interpretation
- community benchmarking via Omnibenchmark
- reference datasets across technologies (e.g. Visum, Xenium, Slide-seq, MERFISH) and tissues (e.g. DLPFC, hippocampus, olfactory bulb, liver)
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