FAIR Geospatial DRI
Cloud-Native Geospatial Workflows for FAIR Environmental Data
This fellowship will develop a practical knowledge exchange pathway to help the UK geospatial digital research infrastructure community move from download-based, institution-specific workflows towards cloud-native, FAIR and reusable approaches for large environmental datasets. Through Carpentries-style training, cross-institutional workshops and best-practice guidance, the project will support researchers, RSEs, data managers and infrastructure providers in adopting scalable workflows based on technologies such as Zarr, object storage and distributed analysis. Building on UK collaborations and selected international exchange with Brazilian partners, the fellowship will help capture and share practical recommendations for making environmental data easier to discover, access, combine and reuse.