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데이터 및 연구 · SKILL.md

metadata-standards-implementation

metadata-standards-implementation

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

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: metadata-standards-implementation description: Apply Dublin Core, METS, MODS, and other metadata schemas for digital collections and archival materials allowed-tools: Read, Grep, Write, Edit, Glob, Bash graph: domains: [domain:humanities] specializations: [specialization:digital-humanities] skillAreas: [skill-area:data-governance, skill-area:document-processing, skill-area:parsing-data-formats] workflows: [workflow:peer-review-cycle] roles: [role:data-engineer, role:information-architect]

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

  • Digital Archive Development
  • Data Visualization for Cultural Research
  • Spatial Humanities Mapping

Collaborating Skills

  • tei-text-encoding
  • archival-finding-aid-interpretation
  • gis-mapping-humanities

References

  • Dublin Core documentation
  • Library of Congress standards
  • Digital preservation guidelines
  • Metadata best practices
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