**Question:** The problem of preprocessing data is that you can process and train in the same run, and if only preprocessed data is present as RO you are not able to reuse data! **Answer**: The motivation behind allowing participants to reuse pre-processed data is to avoid wasting computational time resulting in repeating over and over the pre-processing of the data. The time saved can then be used to better train an inference method to predict the development of breast cancer.