The ‘Informative Mapping of Construction Aggregate Resources Through Statistical Data Analysis (INTEGRATE)’ project explores an innovative approach to mapping raw materials, such as construction aggregates, by using electromagnetic (EM) measurements alongside geological prior information, statistical relationships between geological and geophysical parameters, and borehole data. By integrating information from diverse sources using state-of-the-art probabilistic data integration and inversion methods, the project aims to create a more efficient and accurate framework for locating aggregate resources. The key goal is to enable end users to make informed decisions in both the exploration and exploitation phases, based on maximum available information in the most accessible way. We describe the full INTEGRATE workflow, which consists of (a) quantifying prior spatial geological information, (b) quantifying geophysical information, (c) quantifying information from boreholes, and then (d) combining this information into one consistent statistical model representing the combined information, using efficient sampling models. We discuss what methodology is available today, and what is still needed to be developed in order to achieve the goal. An example of the current state of the framework is provided to demonstrate how end-users can make informed decisions with the specific goal of identifying construction aggregates.