Figure 3.

Analysis process in an example from multiple sclerosis (MS). Diamonds indicate checkpoints of the data control framework. After arriving at the DPS, the files undergo multiple checks based on version-controlled scripts written in the programming language R. Errors discovered in these checks lead to exclusion of records from further processes. The clean data are then passed on to the next step and used to calculate the new model parameters. The processes that update the model also occur in a version-controlled (“GIT”) environment to ensure that a complete audit trail of changes is available. The updated App with new model predictions then undergoes series of tests for feasibility before the final version is uploaded to the public website.