Published April 28, 2022
| Version 2022-04-28xxx
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High level vocabularies for cross domain physical sample indexing
Contributors
Project leaders:
Project members:
- 1. Biodiversity Institute, The University of Kansas
- 2. Berkeley Natural History Museums, University of California
- 3. Open Context, The Alexandria Archive Institute
- 4. Lamont-Doherty Earth Observatory, Columbia University
- 5. Gump South Pacific Research Station, University of California
- 6. University of Arizona
- 7. National Museum of Natural History, Smithsonian Institution
- 8. California Digital Library, University of California,
Description
Ignore this version-- the ttl files did not upload. It should be deprected.
High level vocabularies for categorizing physical samples. Specimen Type is about what kind of object, Material Type is about what the object is composed of, Sampled Feature is about the thing in the world that the sample is representing. Each vocabulary includes <20 classes. The Adobe acrobat files show decision trees for categorizing samples consistently. These are work in progress, and will be updated as testing and integration of new sample types continues. URI for each vocabulary will be provided in future version.
Notes
Change log from previous version:
ttl files removed, but new ones didn't upload