Data Management implementation. New Strategies Addressing Built Assets

Nowadays, the spread of innovative surveying technologies and tools for digital data management are strongly impacting the discipline of surveying and representation, shifting the discretionary phase of the survey project to the data processing phase. The paper aims to explore the process that translates reality into digital data, and the methodological processes that guide this transformation, particularly in the field of intervention on existing buildings. The information captured through digital surveying procedures lead to new developments, allowing the parameterization of elements, the standardization of procedures and the replicability of solutions, by applying BIM - Building Information Modelling and Common data environment (CDE). Within this process, geometric data enrichment through the aggregation of information through semantic and ontological correlations is essential. These correlations are the semantic representation of the relationships between elements that before the digital era could not have been expressed for computational purposes. Digital data becomes a tool for investigation and broadens the horizons of knowledge of the built environment. The “genesis” of the digital data applied to the As-Built is widely discussed. However, there is still large room for the definition of operational methodologies that deal with translating the complexity of theoretical speculation into standardised processes. The presented research is moving in this direction, starting from a consolidated theoretical basis and aiming at experimenting methodologies by extending procedures now applied to Heritage-BIM also to the widespread built heritage.