DOME is a community-driven initiative led by the ELIXIR Machine Learning Focus Group to improve transparency and reproducibility in machine learning. It provides structured guidelines for clearly and consistently describing ML methods.
The DOME Registry is a public platform where these standardized descriptions can be submitted, accessed, and reused. It supports FAIR principles by making machine learning methods easier to find, understand, and evaluate.
Explore DOME Registry
