Mobile Mapping Systems (MMSs) for infrastructural monitoring and mapping are becoming more prevalent as the availability and affordability of solutions that generate high accuracy geospatial data has matured. However, no existent methodology or system exists where all the LiDAR, video, navigation, infrared and multispectral data sources, collected from this mobile platform, are integrated into a single, comprehensive data management solution. Based on empirical experience there is a need for an MMS-data management framework where these types of data can be dynamically accessed and integrated to enable different projects with varying objectives to dynamically access different MMS-data for, in one example, use in feature extraction algorithms. In this paper we introduce the LiDAR aspect of this work towards a MMS-data framework. With large volumes of LiDAR to be stored we have opted for a spatially enabled database (SDB) management solution, specifically PostgreSQL with PostGIS extensions. We detail our approach to storing and querying the LiDAR data in the SDB and provide preliminary results on query times and data returns.