Challenges such as this have great value in bringing the community together and provide an unbiased comparison of wide‐ranging solutions to key data‐processing problems. They raise new insights and ideas, motivating more directed future studies. The data are publicly available for others to use, with more details of the dataset given on the Challenge website at http://cmic.cs.ucl.ac.uk/wmmchallenge/. On this website, an up‐to‐date ranking of the models will be available, where additional models can be added after the publication of the article and where the community will be able to evaluate further the impact of noise correction, compartment‐specific T 2 estimation, inter‐class model assumptions, e.g. tissue versus signal models, or indeed intra‐class model assumptions, e.g. whether cylinders or sticks are optimal models for the given dataset.42 This will provide an important benchmark for future models and parameter estimation routines.