A novel concept for automated quality control of the global air quality data from the Tropospheric Ozone Assessment Report (TOAR) database has been proposed. The approach seeks to quantify the quality of individual measurements after applying a set of statistical tests that are in use in several environmental agencies such as EPA. To prove the concept, we have started to develop a software package (auto-qc) for double-checking the quality of the multi-annual hourly ozone time series from the TOAR database.