Abstract: The field of Spatial Data Infrastructure (SDI) has emerged with the spirit of providing ‘Data as a Service’ to overcome the technical andconceptual barriers in sharing spatial data. In integrated environmental modeling, software components like the GIS, the spatial DBMS, expert rules and analysis tools, and even the associated computational models, are re-used and combined into an environmental decision support system or integrated assessment tool. Our work aims to support the future design of open service platforms for such systems. By an open service platform, we mean a loosely coupled system that connects models with data sources with a high level of substitutability of components. Such a platform will improve the wider exploitation of environmental, spatial data offered by current SDI services, and will positively influence the robustness of current environmental models. For this paper, we wanted to deploy an optimization modeling system as a service, essentially with the philosophy of ‘Software-as-a-Service’ (SaaS). Here, we report on our first prototype, which achieves data harmonization loosely through a OGC-compliant wrapper implementation, and we discuss the prospect for more mature, probably INSPIREd, transformation services, in the context of our services framework for integrated assessment of agricultural information.