The operation of water resource recovery facilities (WRRF) relies on the use of reliable and timely data that are collected from various sensors and laboratory samples. Data are used to monitor processes, in control loops, and in modeling and design studies. While data are essential to proper plant operation, the quality of sensor outputs is often taken for granted and minimal effort is spent on sensor maintenance and calibration. Over time, sensors often exhibit faults that can negatively impact the operation of systems such as control loops that use the sensor data directly or as part of process control models and algorithms (Thomann et al., 2002). These faults obscure useful information and can therefore prevent beneficial manual and automated changes to plant operations that increase efficiency and reduce operating costs. An automated, software-based system has been developed to aid in the collection, storage, analysis, and use of plant data. This software-based system relies on a systematic monitoring methodology for sensors (and related devices), characterization of the (measurement) devices, storage and retrieval of data, documentation of maintenance procedures and staff role assignments. This system provides an ability to (1) detect sensor and other faults in real-time with algorithms that are specific to certain fault or symptom types, (2) controller performance monitoring, and (3) automated controller tuning tools. A discussion of applications of the system in projects for full-scale WRRF’s is included.