The role of geospatial data and precise positioning in the development of digitalisation and robotics has grown drastically. This evolution challenges the public sector to adapt their spatial data strategy to ensure accuracy, timeliness and sharing of geospatial data and positioning to meet the new needs arising from developments such as intelligent traffic, drones, digitalisation of forestry and agriculture, global trading and finance and other location-based services. Additionally, digital twins, that model real-world processes, such as climate or oceanic digital twins, need real-time accurate geospatial data. As part of these new applications, it is vital to understand how we can share geospatial data efficiently for the needs of real time decision making.