Results obtained and presented in the poster: • Based on our methodology and set of ontologies for data characterization, the Agricultural Research Data Index Tool (ARDIT) has been developed serving as a central entry point for locating useful datasets useful for agricultural research.• A Data Warehouse for agriculture policy impact assessment data management has been developed as a fundamental component for the storage, processing, and exchange of data.• The data extraction module has been developed, for the location, extraction, and storage of all types of data necessary for the use of the different tools and modules.• The data fusion module has been developed, for the integration and blending of individual datasets to constitute enriched datasets that are used for the operation of the different AGRICORE modules.• Several modules have been developed which will feed the AGRICORE model: The land market module, the market module, the environmental and climate IAM, the ecosystem services IAM and the Policy Environment Module [ ].• The AGRICORE model has been tested in 3 different use cases (Andalusia, Poland and Greece) by making predictions before policies are implemented (ex-ante analysis) evaluating the policies’ impact after their implementation (ex-post analysis).