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Assuming a workable annotation model (see proposed OA-based approach), students could attach measurement concepts to existing data packages that have already been documented with some structural attributed metadata and free-test descriptions (e.g., EML).
TBD:
How to annotated 1,000s of datasets that are not manually annotated?
Suggest terms? Automatically categorize with natural language processing?
The text was updated successfully, but these errors were encountered:
Assuming a workable annotation model (see proposed OA-based approach), students could attach measurement concepts to existing data packages that have already been documented with some structural attributed metadata and free-test descriptions (e.g., EML).
TBD:
The text was updated successfully, but these errors were encountered: