A FAIR metadata standard for observation data from urban drainage systems

Open Research Data (ORD) is fundamental to open science. Unfortunately, publicly available environmental science observations for broader use are scarce, notably in urban drainage research. This is critical because it can lead to significant future cost savings due to high infrastructure expenses and diverse sensor data. The absence of detailed meta-data, such as calibration protocols, complicates data interpretation and fitness assessment. To enhance urban drainage ORD utilization, the researchers propose adapting existing information models like InfraML and WaterML2.0. Standardized dashboards will improve data interpretability and reusability. Engagement with the international urban drainage community will be demonstrated through three European urban drainage datasets. This initiative benefits the ETH domain by fostering synergy with SLF, WSL, and other EXPLORE projects.