The National Statistical Programme in force includes the “Survey on urban environmental data”, carried out annually by Istat in the provincial and metropolitan capitals. The process provides a comprehensive picture of the quality of the urban environment, the state, pressure indicators and monitors local government policies to improve the quality of the environment in cities. The whole process handles about 500 elementary variables. The work describes the study and design of a new validation process, from a general perspective, which includes automatic procedures for checking the consistency of the collected data, the storage of data and the interaction with the Municipal Statistical Offices. The proposed methodological approach uses a metalanguage to represent rules in formal logic. This methodology makes it possible to build a highly automated and generalized validation process. The result is greater process efficiency, higher data quality and reduced resource consumption. Automatic interoperability with the municipalities helps to increase the efficiency of the overall process. The system reduces the monitoring load by automating most tasks such as the interception of measurement errors, historical series discontinuity and other abnormal values.