Reliable environmental data is essential for addressing global challenges such as climate change and biodiversity loss. However, for this data to be truly effective, it must be easily accessible and fully utilised by digital systems.

A new CORDIS Results Pack highlights EU-funded research projects that enhance the FAIRness (Findable, Accessible, Interoperable, and Reusable) of environmental data through AI, machine learning, and high-performance computing. These projects contribute to the European Green Deal and the European strategy for data by improving data sharing and interoperability.

Among the featured projects, B-Cubed is advancing biodiversity monitoring by applying data cubes to integrate biodiversity data more efficiently. Other relevant projects, like FAIRiCUBE, USAGE, OEMC, and EO4EU in the pack, focus on creating digital ecosystems, supporting sustainability efforts, and contributing to the development of a ‘digital twin’ model of the Earth.

The insights gained from these initiatives also support the European Commission’s efforts to shape future policies on environmental data governance.