Putting user needs at the heart of federated computing to shape a scalable, cross-domain future for environmental data services.
Enabling fast and easy processing of diverse, complex and very large (peta-byte scale) environmental datasets by users in economic sectors including energy, food, finance and logistics.
Developing standardised, trusted, and interoperable infrastructure for managing sensor data across environmental domains.
Achieving a greater level of standardisation of data access APIs across the EDS, with a particular focus on their use in Artificial Intelligence (AI) and machine learning (ML) applications.
Driving innovation in cloud-based environmental data solutions for a FAIR and federated future.
Designing a roadmap for a data/asset commons that enhances interoperability, supports FAIR principles, and enables integrative, systemic science across NERC and allied communities.