metadata-standards-implementation

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Apply Dublin Core, METS, MODS, and other metadata schemas for digital collections and archival materials

AI & Automation 814 stars 53 forks Updated today MIT

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100
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Skill Content

# Metadata Standards Implementation Apply Dublin Core, METS, MODS, and other metadata schemas for digital collections and archival materials. ## Overview This skill enables professional metadata creation for digital collections. It encompasses schema selection, metadata creation, and standards implementation to ensure discoverability and interoperability of digital humanities resources. ## Capabilities ### Metadata Schemas - Dublin Core elements - METS structure - MODS description - EAD encoding - Schema.org vocabularies ### Metadata Creation - Element selection - Value assignment - Controlled vocabulary use - Authority control - Quality assurance ### Interoperability - Crosswalks development - Harvesting support - Linked data principles - API exposure - Format conversion ### Quality Control - Completeness checking - Consistency verification - Accuracy validation - Standards compliance - Enhancement planning ## Usage Guidelines ### Implementation Process 1. Analyze collection needs 2. Select appropriate schemas 3. Develop local guidelines 4. Create metadata records 5. Validate against standards 6. Enable interoperability 7. Maintain quality ### Schema Selection Criteria - Collection type - User needs - System requirements - Interoperability goals - Resource constraints ### Quality Standards - Complete required fields - Use controlled vocabularies - Follow local guidelines - Maintain consistency - Enable discovery ## Integration Points ### Related Processes - Dig...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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