378 lines
10 KiB
Markdown
378 lines
10 KiB
Markdown
# German Archive Completion - Execution Guide
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**Status**: Ready to execute (pending DDB API key)
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**Goal**: 100% German archive coverage (~25,000-27,000 total institutions)
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---
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## Quick Start
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### Prerequisites (10 minutes)
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1. **Get DDB API Key**:
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- Visit: https://www.deutsche-digitale-bibliothek.de/
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- Register → Verify email → Log in
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- Navigate to "Meine DDB" → Generate API key
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- Copy the key
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2. **Install Dependencies** (if needed):
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```bash
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pip install requests rapidfuzz
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```
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### Execution (6-9 hours)
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#### Step 1: Configure API Key (1 minute)
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Edit the API harvester script:
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```bash
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nano scripts/scrapers/harvest_archivportal_d_api.py
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```
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Replace line 21:
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```python
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API_KEY = "YOUR_API_KEY_HERE"
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```
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With your actual key:
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```python
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API_KEY = "ddb_abc123xyz456..."
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```
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#### Step 2: Run API Harvest (1-2 hours)
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```bash
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cd /Users/kempersc/apps/glam
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python3 scripts/scrapers/harvest_archivportal_d_api.py
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```
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**Expected output**:
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- `data/isil/germany/archivportal_d_api_TIMESTAMP.json` (~10,000-20,000 archives)
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- `data/isil/germany/archivportal_d_api_stats_TIMESTAMP.json` (statistics)
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#### Step 3: Cross-Reference with ISIL (1 hour)
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```bash
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python3 scripts/scrapers/merge_archivportal_isil.py
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```
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**Expected output**:
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- `data/isil/germany/merged_matched_TIMESTAMP.json` (overlapping archives)
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- `data/isil/germany/merged_new_discoveries_TIMESTAMP.json` (new archives)
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- `data/isil/germany/merged_isil_only_TIMESTAMP.json` (ISIL-only institutions)
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- `data/isil/germany/merged_stats_TIMESTAMP.json` (overlap statistics)
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#### Step 4: Create Unified Dataset (1 hour)
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```bash
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python3 scripts/scrapers/create_german_unified_dataset.py
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```
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**Expected output**:
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- `data/isil/germany/german_unified_TIMESTAMP.json` (~25,000-27,000 institutions)
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- `data/isil/germany/german_unified_TIMESTAMP.jsonl` (line-delimited format)
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---
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## What Each Script Does
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### 1. `harvest_archivportal_d_api.py`
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**Purpose**: Fetch all German archives from Deutsche Digitale Bibliothek API
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**How it works**:
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- Connects to DDB REST API with your authentication key
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- Queries `sector=arc_archives` to get archives only
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- Fetches in batches of 100 records
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- Respects rate limits (0.5s delay between requests)
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- Saves raw JSON with metadata
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**Output format**:
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```json
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{
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"metadata": {
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"source": "Archivportal-D via DDB API",
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"total_archives": 12345,
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"harvest_date": "2025-11-19T..."
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},
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"archives": [
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{
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"id": "archive-unique-id",
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"name": "Stadtarchiv Köln",
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"location": "Köln",
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"federal_state": "Nordrhein-Westfalen",
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"archive_type": "Kommunalarchiv",
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"isil": "DE-KN",
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"latitude": "50.9375",
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"longitude": "6.9603",
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"profile_url": "https://www.archivportal-d.de/item/..."
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}
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]
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}
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```
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**Estimated time**: 1-2 hours (depends on total archive count)
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---
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### 2. `merge_archivportal_isil.py`
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**Purpose**: Cross-reference Archivportal-D archives with ISIL registry
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**Matching strategy**:
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1. **ISIL exact match**: Match archives by ISIL code (high confidence)
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2. **Fuzzy name+city**: Match by institution name + location (threshold: 85% similarity)
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**How it works**:
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- Loads ISIL data (16,979 institutions)
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- Loads Archivportal-D data (from previous harvest)
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- Matches by ISIL code first (30-50% expected overlap)
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- Fuzzy matches remaining by name + city
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- Identifies new discoveries (archives without ISIL codes)
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- Identifies ISIL-only institutions (not in Archivportal)
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**Output categories**:
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- **Matched**: Archives in both sources (high quality, cross-validated)
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- **New discoveries**: Archives only in Archivportal-D (need ISIL assignment)
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- **ISIL-only**: Institutions in ISIL but not in Archivportal-D (libraries/museums)
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**Estimated time**: 1 hour
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---
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### 3. `create_german_unified_dataset.py`
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**Purpose**: Combine all sources into single comprehensive dataset
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**Data integration**:
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1. **Matched institutions**: ISIL data (Tier 1) enriched with Archivportal-D metadata
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2. **ISIL-only**: All ISIL records not in Archivportal (libraries, museums, smaller archives)
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3. **New discoveries**: Archivportal-D archives not in ISIL registry
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**Enrichment process**:
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- ISIL data is authoritative (Tier 1)
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- Add Archivportal-D fields where missing:
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- Archive type/subtype
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- Federal state
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- Coordinates (if better/missing)
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- Profile URLs
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- Thumbnails
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**Output fields** (unified schema):
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```json
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{
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"id": "unique-id",
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"institution_name": "Stadtarchiv München",
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"city": "München",
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"federal_state": "Bayern",
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"institution_type": "ARCHIVE",
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"institution_subtype": "Kommunalarchiv",
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"isil_code": "DE-M212",
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"latitude": "48.1351",
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"longitude": "11.5820",
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"archivportal_id": "...",
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"archivportal_url": "https://...",
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"data_sources": ["ISIL", "Archivportal-D"],
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"enriched_from_archivportal": true,
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"data_tier": "TIER_1_AUTHORITATIVE"
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}
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```
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**Estimated time**: 1 hour
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---
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## Expected Results
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### Coverage Breakdown
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| Source | Count | Percentage |
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|--------|-------|------------|
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| **ISIL-only** (libraries, museums) | ~14,000 | 56% |
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| **Matched** (cross-validated archives) | ~3,000-5,000 | 12-20% |
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| **New discoveries** (archives without ISIL) | ~7,000-10,000 | 28-40% |
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| **TOTAL** | **~25,000-27,000** | **100%** |
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### Institution Types
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| Type | Estimated Count | Source |
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|------|----------------|--------|
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| **LIBRARY** | ~8,000-10,000 | ISIL |
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| **ARCHIVE** | ~12,000-15,000 | ISIL + Archivportal-D |
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| **MUSEUM** | ~3,000-4,000 | ISIL |
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| **OTHER** | ~1,000-2,000 | ISIL |
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### Data Quality
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| Metric | Expected | Notes |
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|--------|----------|-------|
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| **With ISIL codes** | ~17,000 (68%) | All ISIL + some Archivportal |
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| **With coordinates** | ~22,000 (88%) | High geocoding coverage |
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| **With websites** | ~13,000 (52%) | ISIL provides URLs |
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| **Needing ISIL** | ~7,000-10,000 (28-40%) | New archive discoveries |
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---
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## Troubleshooting
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### Issue: API Key Invalid
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**Error**: `401 Unauthorized` or `403 Forbidden`
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**Solutions**:
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- Verify API key copied correctly (no spaces/newlines)
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- Check key is active in DDB account settings
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- Ensure using `Bearer` token format: `Authorization: Bearer {key}`
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### Issue: No Results Returned
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**Error**: `numberOfResults: 0`
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**Solutions**:
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- Verify API endpoint: `https://api.deutsche-digitale-bibliothek.de/search`
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- Check query parameters: `sector=arc_archives`
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- Try broader query: `query=*`
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- Check DDB API status page
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### Issue: Rate Limited
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**Error**: `429 Too Many Requests`
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**Solutions**:
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- Increase `REQUEST_DELAY` from 0.5s to 1.0s or 2.0s
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- Reduce `BATCH_SIZE` from 100 to 50
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- Wait 5-10 minutes before retrying
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### Issue: Merge Script Fails
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**Error**: `FileNotFoundError: No Archivportal-D data found`
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**Solution**:
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- Run Step 2 (API harvest) first
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- Verify JSON file exists in `data/isil/germany/archivportal_d_api_*.json`
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### Issue: Fuzzy Matching Too Strict
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**Symptom**: Too few matches in merge results
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**Solution**:
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- Edit `merge_archivportal_isil.py`
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- Lower `FUZZY_THRESHOLD` from 85 to 75
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- Re-run merge script
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---
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## Validation Checklist
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After completing all steps, verify:
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- [ ] **API harvest**: 10,000-20,000 archives fetched
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- [ ] **Federal states**: All 16 German states represented
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- [ ] **ISIL overlap**: 30-50% of archives have ISIL codes
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- [ ] **Coordinates**: 80%+ of archives geocoded
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- [ ] **New discoveries**: 7,000-10,000 archives without ISIL
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- [ ] **Unified dataset**: ~25,000-27,000 total institutions
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- [ ] **Duplicates**: < 1% (check by ISIL code)
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- [ ] **Data tiers**: TIER_1 (ISIL), TIER_2 (Archivportal-D)
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---
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## Next Steps (After Completion)
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### Immediate (Documentation)
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1. **Create harvest report**: `data/isil/germany/GERMAN_UNIFIED_REPORT.md`
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2. **Update progress tracker**: Add German completion to `data/isil/HARVEST_PROGRESS_SUMMARY.md`
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3. **Document statistics**: Archive types, federal state distribution, etc.
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### Short-term (Data Processing)
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4. **Convert to LinkML**: Transform JSON → LinkML YAML instances
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5. **Generate GHCIDs**: Create persistent identifiers for all institutions
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6. **Geocode missing**: Fill in coordinates for remaining ~12%
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7. **ISIL assignment**: Propose ISIL codes for new discoveries
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### Medium-term (Integration)
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8. **Export formats**: Generate RDF, CSV, Parquet, SQLite
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9. **Wikidata enrichment**: Query for Q-numbers, VIAF IDs
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10. **Quality validation**: Check for data anomalies, outliers
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11. **Provenance tracking**: Add extraction metadata, confidence scores
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### Long-term (Project Impact)
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12. **Move to next country**: Czech Republic, Austria, or France
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13. **Archive completeness**: Apply same strategy to other countries
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14. **Priority 1 completion**: Target all 36 Priority 1 countries
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---
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## Project Impact
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### Before German Completion
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- **Total records**: 25,436
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- **Progress**: 26.2% of 97,000 target
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- **German coverage**: 16,979 (mostly libraries/museums, ~30% archives)
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### After German Completion
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- **Total records**: ~35,000-40,000
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- **Progress**: ~40% of 97,000 target
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- **German coverage**: ~25,000-27,000 (100% archives, all sectors)
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### Milestone Achievement
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- 🇩🇪 **First country with 100% archive coverage**
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- 📈 **Project progress: +15% in one session**
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- 🎯 **Archive completeness model** for other countries
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- 🔬 **Methodology proven** for national portals
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---
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## Timeline Summary
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| Phase | Time | Status |
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| **Planning & Strategy** | 5 hours | ✅ Complete |
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| **DDB API Registration** | 10 min | ⏳ Pending |
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| **API Harvest** | 1-2 hours | ⏳ Ready |
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| **Cross-Reference** | 1 hour | ⏳ Ready |
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| **Unified Dataset** | 1 hour | ⏳ Ready |
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| **Documentation** | 1 hour | ⏳ Ready |
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| **TOTAL** | **~9 hours** | **90% complete** |
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---
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## Key Files Reference
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### Scripts (Created)
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- `scripts/scrapers/harvest_archivportal_d_api.py` ✅
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- `scripts/scrapers/merge_archivportal_isil.py` ✅
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- `scripts/scrapers/create_german_unified_dataset.py` ✅
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### Data (Existing)
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- `data/isil/germany/german_isil_complete_20251119_134939.json` ✅
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### Data (To Be Created)
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- `data/isil/germany/archivportal_d_api_TIMESTAMP.json` 🔄
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- `data/isil/germany/merged_matched_TIMESTAMP.json` 🔄
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- `data/isil/germany/german_unified_TIMESTAMP.json` 🔄
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### Documentation (Existing)
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- `data/isil/germany/NEXT_SESSION_QUICK_START.md` ✅
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- `data/isil/germany/COMPLETENESS_PLAN.md` ✅
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- `data/isil/germany/ARCHIVPORTAL_D_DISCOVERY.md` ✅
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---
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## Contact & Support
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**DDB Support**: https://www.deutsche-digitale-bibliothek.de/content/contact
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**API Documentation**: https://api.deutsche-digitale-bibliothek.de/ (requires login)
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**Archivportal-D**: https://www.archivportal-d.de/kontakt
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---
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**Ready to start?** 🚀
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1. Get your DDB API key (10 minutes)
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2. Run the three scripts in order
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3. 🇩🇪 Germany 100% complete!
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