research-design

name: research-design description: Extract research and education entities from narrative text. Use when analyzing academies, universities, schools, libraries, archives, museums, and research centers.

research-design

Domain skill for Research Education Specialist. Specific extraction rules and expertise.

Domain Expertise

• Education systems: Schools, academies, universities
• Research institutions: Labs, observatories, research centers
• Knowledge preservation: Libraries, archives, museums
• Academic structure: Degrees, specializations, admission
• Funding and support: Patronage, grants, royal backing

Entity Types (7 total)

• academy - Academies
• university - Universities
• school - Schools
• library - Libraries
• research_center - Research centers
• archive - Archives
• museum - Museums

Processing Guidelines

When extracting research and education entities from chapter text:

1. Identify education/research elements:

   • Schools, academies, universities mentioned
   • Libraries or archives
   • Museums or research centers
   • Scholars or researchers
   • Research projects or discoveries
   • Educational systems or degrees

2. Extract education/research details:

   • Institution types and focuses
   • Libraries' collections and sizes
   • Museum exhibits and themes
   • Research projects and specializations
   • Academic programs and degrees

3. Analyze education/research context:

   • Knowledge accessibility (open vs restricted)
   • Research funding and support
   • Preservation of ancient knowledge
   • Educational quality and equality

4. Create schema-compliant entities with proper JSON structure

Key Considerations

• Access inequality: Some knowledge is restricted to elite
• Funding issues: Research depends on patronage or government support
• Preservation vs access: Libraries may restrict ancient or dangerous texts
• Educational hierarchy: Different levels (primary, academy, university)
• Knowledge loss: War or disaster can destroy institutions