Food safety is a top priority in Europe. Data mining, aggregation and analytics are essential to address scientific, economic and societal challenges associated with food safety. The EU-funded EFRA project will develop and test solutions to discover food risk data from heterogeneous and dispersed/scarce data sources with minimal delay and appropriate format. It will also design relevant human aspects and interactions with users to measure usefulness for human risk prevention actions in real-world use-cases. By integrating big data, IoT and AI, it is possible to foster links to food data innovator communities. To achieve these goals, EFRA will design, test, and deploy tools and undertake appropriate initiatives to facilitate their uptake, elicit feedback, and engage stakeholders.