| 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:
-
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
-
Extract education/research details:
- Institution types and focuses
- Libraries' collections and sizes
- Museum exhibits and themes
- Research projects and specializations
- Academic programs and degrees
-
Analyze education/research context:
- Knowledge accessibility (open vs restricted)
- Research funding and support
- Preservation of ancient knowledge
- Educational quality and equality
-
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
