The FAIR principles- Findability, Accessibility, Interoperability and Reusability have become central to enhancing the value, transparency, and longevity of scientific data. Yet in the geospatial domain, implementing FAIR practices often remains uneven, reflecting gaps between formal standards compliance and practical usability within complex data infrastructures. Here, we examine how large language models (LLMs) can support the operationalisation of FAIR-aligned geospatial data stewardship. ...

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