• Improve the application of FAIR data principles in use of urban drainage research data and models through the data and code sharing platform RENKU, which tracks the provenance of datasets and derived information. • Provide a reproducible approach in three use cases from i) sediment research, ii) sensor calibration and data validation using the Urban Drainage Monitoring Toolbox and iii) automated in-pipe defect classification using and open sewer asset data. • Our insights suggest that RENKU is no panacea, but could be a cornerstone to making our research reproducible in the urban drainage community, to sharing data and models and to track the provenance of derived data