In general, urban mobility analyses are conducted using data and calculation models selected based on their availability in a specific context. Often, these analyses are not easily comparable across different urban areas or even within the same area over different time periods. An ongoing flagship project, in the framework of the Spoke Urban Mobility of National Center for Sustainable Mobility, aims to overcome this issue by developing a standardized platform for data, models, and analysis tools that can integrate effectively and potentially lead to the development of a digital twin of urban mobility. The project is developed by FS Research Centre of Ferrovie dello Stato Italiane SpA in collaboration with University of Rome La Sapienza and it is based on an existing Information Management System, a geospatial data platform for analyzing and modelling mobility and its interaction with social, economic, territorial, and environmental systems. The platform is fed by the most extensive database of individual travel demand in Italy, primarily based on mobile phone data. It integrates and enhances this system with new urban data, algorithms, and data fusion models essential for small-scale analysis. This holistic approach will provide effective visualization of mobility, identify critical issues, and predict their recurrence. This initiative aims at creating a comprehensive tool that can seamlessly integrate various data sources, models, and analytical methods, providing a unified framework for studying urban mobility. The ultimate goal is to enhance the comparability and accuracy of mobility analyses, leading to better informed urban planning and management decisions.