The navigation data of today is primarily designed to support human decision-making to conduct navigation planning and execution. To support increasing autonomy within the navigation domain, data needs to be machine readable and machine intelligible. While much of the content of the core navigational products, such as the electronic navigation chart (ENC), are machine readable, there is a wealth of ancillary information, which contains important information to support situational awareness, that may prove much more challenging for an autonomous system to assimilate. The presentation will explore some of the challenges and potential solutions for data producers and developers of autonomous navigation systems.