Quality control is a critical component of environmental data management, particularly for data collected by autonomous sensors. Performing quality analysis on high volume, real-time data from sensor networks, flux towers and instrumented platforms is a major challenge, though, and can become a limiting factor in managing these data. Software developed at the Georgia Coastal Ecosystems LTER Site (GCE Data Toolbox for MATLAB) has proven very effective for quality control of both real-time and legacy data, as well as interactive analysis during post processing and synthesis. This poster describes the dynamic, rule-based quality control framework provided by this software and illustrates how it can be used for both automated and interactive quality management of sensor data.