Efficient and compliant access to and use of data (IA) (AI, Data and Robotics partnership)

Expected Outcome:Project results are expected to contribute to the following outcomes:Lead to the development of secure, compliant and adaptive systems that improve the availability, accuracy, privacy and interoperability of data across the Union.Deliver advanced, AI-driven compliance technologies and regulatory tools that reduce administrative burdens, promote regulatory efficiency, and facilitate the implementation of the Data Union Strategy, a Single Market for data, Common European Data Spaces, the European Business Wallet, and the Digital Justice Strategy for 2025-2030.Enable more agile regulatory processes, foster mutual recognition of compliance efforts across borders and cross-border cooperation, support interoperability between Member States, and enhance transparency and trust. They will position the Union at the forefront of regulatory innovation, while strengthening the functioning, resilience, competitiveness, and digital leadership of the Single Market.Enhance the excellence and competitiveness of companies, professionals, and public administrations by providing innovative, automated solutions to navigate and comply with Union rules seamlessly across borders.Enhance public services and strengthen the competitiveness and digital sovereignty of the EU by improved availability and use of high-quality real and synthetic data to train AI systems more effectively. Scope:The scope of this topic is to support the deployment of secure, interoperable, and scalable data management systems, ensuring seamless cross-sector data integration, automation of key processes, and compliance with EU frameworks.The actions should deliver high-quality, well-structured, secure and compliant data, tailored to evolving societal, industrial, research and public sector needs, underpinning key EU strategies, including the Data Union Strategy, the Apply AI Strategy, the Digital Justice Strategy, and the development of Common European Data Spaces, Data Labs and EuroHPC systems (includ