Climate change has increased the frequency and intensity of extreme weather events, posing significant risks to road infrastructure. For example, localized heavy rainfall can generate high-velocity surface runoff, while river floods can raise water levels, both of which can cause damage to roads. The Pave4Climate project is developing climate-resilient strategies for road infrastructure using a multiscale, multidisciplinary approach. This involves combining large-scale laboratory experiments with numerical simulations and artificial intelligence to collect and generate data, as well as examine the interactions between pavement structures, materials, and extreme weather. In this work, three methods of data collection and generation are introduced: an Emergency Action Plan, laboratory experiments for erosion evaluation, and laboratory experiments for load-bearing capacity assessment. These methods are then organized within a schema-based approach for data integration. Through this approach, the project aims to derive innovative materials and construction methods that enhance sustainability, circularity, and modernization in road construction.