SOURCE-LINKED INTELLIGENCE

Geospatial Metadata Improves Discoverability by Connecting Datasets Across Scientific Disciplines

arXiv · AI, language, vision and robotics · article · Sep 15, 2026 · UTC

Research data repositories are essential infrastructure for scientific inquiry and for ensuring that datasets follow FAIR (Findable, Accessible, Interoperable, and Reusable) principles. However, repository reuse depends on the quality and completeness of geospatial and thematic metadata, which researchers generally provide voluntarily. Given limited curation resources, it is unsurprising that even Harvard Dataverse, the world's largest general-purpose research repository, contains many incomplete metadata records. Missing fields represent lost information and reduce interoperability. We find t

Read original source ↗ Open in workspace

recordType

paper

region

Global