Internet of Samples: Creating and Mapping Controlled Vocabularies for Specimen Type, Material Type, and Sampled Feature

Material samples are vital across multiple scientific disciplines with samples collected for one project often proving valuable for additional studies.The Internet of Samples (iSamples) project aims to integrate large, diverse, cross-discipline sample repositories and enable access and discovery of material samples as FAIR data (Findable, Accessible, Interoperable, and Reusable).Here we report our recent progress in controlled vocabulary development and mapping.In addition to a core metadata schema to integrate SESAR, GEOME, Open Context, and Smithsonian natural history collections, three small but important controlled vocabularies (CVs) describing specimen type, material type, and sampled feature were created.