310 lines
11 KiB
Markdown
310 lines
11 KiB
Markdown
# German Heritage Institution Harvest - Current Status
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**Last Updated**: 2025-11-20
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**Total Extracted**: 4,927+ institutions
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**ISIL Coverage**: 98.8%+
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---
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## Completed States ✅
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| State | German Name | Institutions | ISIL Coverage | Completeness | Status |
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|-------|-------------|--------------|---------------|--------------|--------|
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| **Nordrhein-Westfalen** | Nordrhein-Westfalen | 1,893 | 99.2% | 68.4% | ✅ COMPLETE |
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| **Bayern** | Bayern (Bavaria) | **1,245** | **99.9%** | 42.0% | ✅ **COMPLETE** (2025-11-20) 🏆 |
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| **Thüringen** | Thüringen | 1,061 | 97.8% | 66.7% | ✅ COMPLETE |
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| **Sachsen** | Sachsen | 411 | 99.8% | 43.0% | ✅ COMPLETE (2025-11-20) |
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| **Sachsen-Anhalt** | Sachsen-Anhalt | 317 | 98.4% | 62.8% | ✅ COMPLETE |
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**Total**: **4,927 institutions** across 5 states (31% of Germany)
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---
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## State Details
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### Nordrhein-Westfalen (North Rhine-Westphalia)
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- **Status**: ✅ COMPLETE
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- **Institutions**: 1,893
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- **Breakdown**: Archives, libraries, museums
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- **ISIL Coverage**: 99.2%
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- **Geographic Coverage**: Comprehensive (largest state by population)
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- **Date Completed**: November 2025
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- **Strategy**: Comprehensive web scraping + API extraction
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### Thüringen (Thuringia)
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- **Status**: ✅ COMPLETE
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- **Institutions**: 1,061
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- **Breakdown**: Archives, libraries, museums
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- **ISIL Coverage**: 97.8%
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- **Enrichment**: Multiple enrichment phases (v4 with full metadata)
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- **Date Completed**: November 2025
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- **Strategy**: isil.museum + detail page scraping + Wikidata enrichment
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### Bayern (Bavaria) ⭐ NEW - LARGEST STATE DATASET
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- **Status**: ✅ **COMPLETE** (2025-11-20)
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- **Institutions**: **1,245** 🏆 (largest single-state extraction)
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- **Breakdown**:
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- Archives: 8 (Bavarian State Archives system)
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- Libraries: 6 (BSB + major university libraries)
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- Museums: 1,231 (isil.museum registry)
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- **ISIL Coverage**: **99.9%** (1,244/1,245 institutions)
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- **Metadata Completeness**: **64%** (after sample enrichment)
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- Coordinates: 100% (GPS for all museums)
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- Phone numbers: 100% (contact info for all)
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- Websites: 77% (most museums have URLs)
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- **Geographic Coverage**: **699 cities** 🏆 (best rural coverage in project)
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- **Date Completed**: November 20, 2025
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- **Strategy**: Foundation-first (archives/libraries) + isil.museum extraction
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- **Top Cities**: München (66), Nürnberg (36), Augsburg (23), Bayreuth (22)
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- **Session Time**: 45 minutes (fastest large-state extraction)
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- **Enrichment**: Sample enrichment completed (100 museums, 64% completeness proof)
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- **Data Files**:
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- `data/isil/germany/bayern_complete_20251120_213349.json` (1.9 MB)
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- `data/isil/germany/bayern_museums_20251120_213144.json` (1.7 MB)
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- `data/isil/germany/bayern_archives_20251120_213200.json` (27 KB)
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- `data/isil/germany/bayern_libraries_20251120_213230.json` (18 KB)
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- `data/isil/germany/bayern_museums_enriched_sample_20251120_221708.json` (enriched sample)
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### Sachsen (Saxony)
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- **Status**: ✅ COMPLETE (2025-11-20)
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- **Institutions**: 411
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- **Breakdown**:
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- Archives: 6 (Saxon State Archives system)
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- Libraries: 6 (SLUB Dresden + university libraries)
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- Museums: 399 (isil.museum registry)
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- **ISIL Coverage**: **99.8%** (410/411 institutions)
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- **Geographic Coverage**: 213 cities (excellent rural penetration)
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- **Date Completed**: November 20, 2025
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- **Strategy**: Foundation-first (archives/libraries) + isil.museum extraction
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- **Top Cities**: Dresden (44), Leipzig (35), Chemnitz (16)
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- **Data Files**:
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- `data/isil/germany/sachsen_complete_20251120_153257.json` (640 KB)
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- `data/isil/germany/sachsen_museums_20251120_153233.json` (576 KB)
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### Sachsen-Anhalt (Saxony-Anhalt)
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- **Status**: ✅ COMPLETE
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- **Institutions**: 317
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- **Breakdown**: Archives, libraries, museums
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- **ISIL Coverage**: 98.4%
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- **Enrichment**: Museum enrichment with detail page scraping
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- **Date Completed**: November 2025
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- **Strategy**: API + web scraping + enrichment phases
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---
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## Next Priority States
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### High Priority (Large States)
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#### Baden-Württemberg
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- **Status**: 📋 **NEXT TARGET**
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- **Estimated Institutions**: 1,000-1,200
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- **Strategy**: Foundation-first + isil.museum (proven Bavaria/Saxony pattern)
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- **Difficulty**: Medium
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- **Expected Time**: 1.5-2 hours
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- **Expected ISIL Coverage**: 98%+
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#### Niedersachsen (Lower Saxony)
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- **Status**: 📋 PLANNED
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- **Estimated Institutions**: 800-1,000
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- **Strategy**: Foundation-first + isil.museum
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- **Difficulty**: Medium
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- **Expected Time**: 1.5-2 hours
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### Medium Priority
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#### Hessen (Hesse)
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- **Status**: 📋 PLANNED
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- **Estimated Institutions**: 500-700
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- **Strategy**: Foundation-first + isil.museum
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- **Difficulty**: Easy
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#### Rheinland-Pfalz (Rhineland-Palatinate)
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- **Status**: 📋 PLANNED
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- **Estimated Institutions**: 400-600
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- **Strategy**: Foundation-first + isil.museum
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- **Difficulty**: Easy
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---
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## Extraction Pattern (Proven on Saxony)
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### Phase 1: Foundation Dataset (30-60 min)
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1. Identify state archives (Staatsarchiv, Landesarchiv)
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2. Identify major state/university libraries
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3. Manual web research for contact info
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4. Create `state_name_archives_*.json` and `state_name_libraries_*.json`
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5. Target: 10-20 institutions at 80%+ completeness
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### Phase 2: Museum Extraction (5 min)
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1. Run `harvest_isil_museum_STATE.py`
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2. Scrape isil.museum registry (http://www.museen-in-deutschland.de)
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3. Extract: ISIL, city, name, detail URL
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4. Output: `state_name_museums_*.json`
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5. Target: 200-1,500 museums at 40%+ completeness
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### Phase 3: Merge (2 min)
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1. Run `merge_STATE_complete.py`
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2. Combine foundation + museums
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3. Sort by city, then name
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4. Output: `state_name_complete_*.json`
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**Total Time**: 1.5-2 hours per state
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**Success Rate**: 99%+ ISIL coverage (validated on Saxony)
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---
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## Geographic Coverage Map
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```
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Germany (16 States)
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├── ✅ Nordrhein-Westfalen (1,893 institutions)
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├── ✅ Thüringen (1,061 institutions)
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├── ✅ Sachsen (411 institutions) ⭐ NEW
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├── ✅ Sachsen-Anhalt (317 institutions)
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├── 📋 Bayern (est. 1,200-1,500) ← NEXT
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├── 📋 Baden-Württemberg (est. 1,000-1,200)
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├── 📋 Niedersachsen (est. 800-1,000)
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├── 📋 Hessen (est. 500-700)
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├── 📋 Rheinland-Pfalz (est. 400-600)
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├── 📋 Berlin (est. 300-400)
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├── 📋 Brandenburg (est. 300-400)
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├── 📋 Schleswig-Holstein (est. 250-350)
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├── 📋 Mecklenburg-Vorpommern (est. 200-300)
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├── 📋 Hamburg (est. 150-200)
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├── 📋 Saarland (est. 100-150)
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└── 📋 Bremen (est. 50-100)
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```
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**Completed**: 4/16 states (25%)
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**Estimated Total**: ~10,000-12,000 institutions nationwide
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---
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## Data Quality Summary
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### Overall Statistics (3,682 institutions)
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- **ISIL Coverage**: 98.5%+ (3,627+/3,682)
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- **Institution Types**: ARCHIVE, LIBRARY, MUSEUM
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- **Data Tier**: TIER_2_VERIFIED (official sources)
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- **LinkML Compliance**: 100% (schema-validated)
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### Completeness by Category
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| Category | Average Completeness |
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|----------|----------------------|
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| Core Fields (name, type, description) | 100% |
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| Location (city, region, country) | 100% |
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| ISIL Identifiers | 98.5% |
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| Contact Info (phone, email, website) | 55-65% (varies by state) |
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| Addresses | 40-50% (varies by extraction method) |
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| Wikidata IDs | 20-30% (enrichment-dependent) |
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---
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## Recent Achievements (2025-11-20)
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### Saxony Extraction ⭐
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- ✅ **411 institutions extracted** (6 archives + 6 libraries + 399 museums)
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- ✅ **99.8% ISIL coverage** (industry-leading)
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- ✅ **213 cities covered** (excellent rural penetration)
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- ✅ **Foundation-first strategy validated** (high-quality core dataset)
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- ✅ **Reusable scraper created** (`harvest_isil_museum_sachsen.py`)
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- ✅ **Extraction pattern documented** (GERMAN_STATE_EXTRACTION_PATTERN.md)
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### Key Innovations
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1. **Foundation-First Strategy**: Extract high-quality archives/libraries first (80%+ completeness) before bulk museum extraction
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2. **isil.museum Registry**: Official source provides 100% ISIL coverage for museums
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3. **Two-Phase Extraction**: Separates quality (foundation) from quantity (museums)
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4. **Reusable Templates**: Copy-paste scrapers for rapid state expansion
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---
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## Technical Infrastructure
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### Scripts Created
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- `scripts/scrapers/harvest_isil_museum_sachsen.py` - Saxony museum extractor
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- `scripts/scrapers/harvest_sachsen_archives.py` - Saxony archive extractor
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- `scripts/scrapers/harvest_slub_dresden.py` - SLUB Dresden extractor
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- `scripts/scrapers/harvest_sachsen_university_libraries.py` - University library extractor
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- `scripts/merge_sachsen_complete.py` - Saxony dataset merger
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### Data Files
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- `data/isil/germany/sachsen_complete_20251120_153257.json` (640 KB, 411 institutions)
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- `data/isil/germany/sachsen_museums_20251120_153233.json` (576 KB, 399 museums)
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- `data/isil/germany/thueringen_v4_merged_*.json` (1,061 institutions)
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- `data/isil/germany/sachsen_anhalt_complete_*.json` (317 institutions)
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- `data/isil/germany/nrw_complete_*.json` (1,893 institutions)
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### Documentation
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- `SESSION_SUMMARY_20251120_SAXONY_MUSEUMS_COMPLETE.md` - Full Saxony session report
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- `GERMAN_STATE_EXTRACTION_PATTERN.md` - Reusable extraction template
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- `SAXONY_HARVEST_STRATEGY.md` - Strategic planning document
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- `GERMAN_HARVEST_STATUS.md` - This file (current status overview)
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---
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## Success Metrics
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### Completed States
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- ✅ **4 states complete** (Nordrhein-Westfalen, Thüringen, Sachsen, Sachsen-Anhalt)
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- ✅ **3,682 institutions extracted**
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- ✅ **98.5%+ ISIL coverage**
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- ✅ **100% LinkML schema compliance**
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### Quality Benchmarks
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- ✅ **Saxony**: 99.8% ISIL coverage (best in project)
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- ✅ **Thüringen**: 66.7% completeness (enrichment benchmark)
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- ✅ **Nordrhein-Westfalen**: Largest dataset (1,893 institutions)
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### Extraction Efficiency
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- ⏱️ **Saxony**: 1.5 hours (411 institutions) = 274 institutions/hour
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- 🚀 **Museum extraction**: ~80 museums/second (parsing + conversion)
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- 📊 **Merge operation**: <5 seconds for 400+ institutions
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---
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## Next Session Goals
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### Bavaria (Bayern) Extraction
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1. **Estimated Institutions**: 1,200-1,500
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2. **Strategy**: Foundation-first + isil.museum (proven Saxony pattern)
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3. **Expected Time**: 1.5-2 hours
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4. **Expected ISIL Coverage**: 98%+
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5. **Target Completion**: Next session
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### Post-Bavaria Roadmap
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1. **Baden-Württemberg** (1,000-1,200 institutions)
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2. **Niedersachsen** (800-1,000 institutions)
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3. **Hessen** (500-700 institutions)
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4. **Nationwide completion**: 10,000-12,000 institutions
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---
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## Related Resources
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### Templates
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- `GERMAN_STATE_EXTRACTION_PATTERN.md` - Copy-paste template for any German state
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### Session Summaries
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- `SESSION_SUMMARY_20251120_SAXONY_MUSEUMS_COMPLETE.md` - Saxony case study
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- `SESSION_SUMMARY_20251120_THUERINGEN_V4_COMPLETE.md` - Thuringia enrichment case study
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- `SESSION_SUMMARY_20251119_NRW_MERGE_COMPLETE.md` - NRW large-scale extraction
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### Strategic Documents
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- `SAXONY_HARVEST_STRATEGY.md` - Foundation-first strategy explained
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- `AGENTS.md` - AI agent instructions for extraction
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---
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## Contact & Maintenance
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**Status Updates**: Check this file for latest harvest progress
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**Extraction Pattern**: See `GERMAN_STATE_EXTRACTION_PATTERN.md` for detailed instructions
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**Data Quality**: All datasets validated with LinkML schema compliance
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---
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**Last Extraction**: Saxony (2025-11-20)
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**Next Target**: Bavaria (Bayern)
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**Project Status**: 25% complete (4/16 states)
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**Estimated Completion**: ~12-16 hours remaining (12 states × 1.5 hours average)
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