Today's cities face various challenges, including economic growth, environmental sustainability, social resilience, air pollution, and traffic. Given these challenges, we need information for analysis and forecasting to manage crises in specific situations. Many cities are investing in information technology research and developing policies to improve citizens' quality of life. Given the ICT trend for sustainable smart cities, the future planning process of the city is critical. Therefore, timely and reliable primary input is critical for decision-making analysis in real-time and reliable statistics, which means increasing the quality and quantity of data in all aspects. In this paper, the experiences of Tehran urban statistics and observatory center in providing open data is presented with regard to the implementation of anonymization processes using data governance measures. We describe the anonymization of some real data from municipality, which has been done by PDPC and present a checklist for classifying all information. Finally, the design of metadata storage is clarified. Essentially, one of the successful experiences is the use of researchers' analysis by providing no sensitive data as open data. This experience is based on studying global examples with the framework of DMBOK and required privacy and confidentiality of information. We used data governance in the organization to emphasize on all aspects of data management, including data production and sharing, data quality assurance, data integration, and related topics.