glam/data/isil/AR/ARGENTINA_CONABIP_README.md

Argentina CONABIP Popular Libraries Dataset

Overview

Source: CONABIP (Comisión Nacional de Bibliotecas Populares)
URL: https://www.conabip.gob.ar/buscador_bp
Date Scraped: November 17, 2025
Total Institutions: 288
Coverage: 22 provinces, 220 cities

Files

Basic Dataset (Complete)

• conabip_libraries.csv (47 KB) - Basic institution data
• conabip_libraries.json (115 KB) - JSON with metadata

Fields:

• Registration number (REG)
• Institution name
• Province
• City/Locality
• Neighborhood
• Street address
• Profile URL

Enhanced Dataset (Sample Only)

• conabip_libraries_with_profiles_test.csv (12 KB) - 32 institutions
• conabip_libraries_with_profiles_test.json (24 KB) - 32 institutions

Additional Fields:

• Latitude/longitude (from Google Maps)
• Google Maps URL
• Services offered (WiFi, computers, workshops, etc.)

Note: Full enhanced dataset (288 institutions) not yet complete due to scraping timeout constraints. See session summary for details.

Geographic Distribution

Top 10 Provinces

1. Buenos Aires: 82 institutions (28.5%)
2. Santa Fe: 61 institutions (21.2%)
3. Entre Ríos: 27 institutions (9.4%)
4. Córdoba: 18 institutions (6.3%)
5. Corrientes: 13 institutions (4.5%)
6. La Pampa: 12 institutions (4.2%)
7. Ciudad Autónoma de Buenos Aires: 10 institutions (3.5%)
8. Jujuy: 8 institutions (2.8%)
9. Santiago del Estero: 7 institutions (2.4%)
10. San Juan: 6 institutions (2.1%)

Geographic Spread

• 220 unique cities represented
• Average: 13.1 institutions per province
• Concentration: ~50% of institutions in Buenos Aires and Santa Fe provinces

Most Common Institution Names

Popular library names honor Argentine historical figures:

1. Domingo Faustino Sarmiento: 41 institutions

   • 7th President of Argentina (1868-1874)
   • Champion of public education and libraries

2. Bernardino Rivadavia: 21 institutions

   • 1st President of Argentina (1826-1827)
   • Founding father, education reformer

3. Juan Bautista Alberdi: 14 institutions

   • Political theorist, author of Argentine Constitution basis

4. Mariano Moreno: 11 institutions

   • Revolutionary leader, journalist

5. Florentino Ameghino: 7 institutions

   • Naturalist, paleontologist, anthropologist

6. Bartolomé Mitre: 7 institutions

   • President (1862-1868), historian, writer

Data Quality

Strengths

• ✅ Official government source (authoritative)
• ✅ Clean, structured data
• ✅ Consistent formatting
• ✅ Zero parsing errors
• ✅ Geographic coordinates available (via profile pages)

Limitations

• ⚠️ Only 288 institutions (may not be comprehensive)
• ⚠️ Profile data requires additional scraping (slow)
• ⚠️ Registration numbers not consistently extracted
• ⚠️ Some fields may be incomplete or empty

Data Tier Classification

Per GLAM project schema:

• Data Source: WEB_SCRAPING
• Data Tier: TIER_2_VERIFIED (official government website)
• Institution Type: LIBRARY (popular libraries)
• Country Code: AR (Argentina, ISO 3166-1 alpha-2)

Usage Notes

For GLAM Project Integration

1. Parse CSV/JSON into LinkML HeritageCustodian instances
2. Set institution_type: LIBRARY
3. Map provinces to ISO 3166-2 region codes (AR-B, AR-X, etc.)
4. Geocode addresses using Nominatim API (if coordinates not available)
5. Generate GHCIDs: AR-{ProvinceCode}-{CityCode}-L-{Abbrev}
6. Enrich with Wikidata Q-numbers where available

Known Issues

• Full enhanced dataset incomplete (requires long-running background scrape)
• Server occasionally slow/unreliable (4 timeouts in 288 requests)
• Some duplicate names across different cities (need location-based deduplication)

Next Steps

1. Complete profile scraping for all 288 institutions (run in background)
2. Parse into LinkML heritage_custodian instances
3. Enrich with Wikidata/VIAF identifiers
4. Integrate with global GLAM dataset
5. Export to RDF/JSON-LD for semantic web

Related Documents

• SESSION_SUMMARY_ARGENTINA_CONABIP.md - Detailed session notes
• ARGENTINA_ISIL_INVESTIGATION.md - Argentina ISIL registry investigation
• /scripts/scrapers/scrape_conabip_argentina.py - Web scraper source code
• /tests/scrapers/test_conabip_scraper.py - Test suite (19 tests, 100% pass)

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Scraper: OpenCODE AI Agent
License: Dataset public domain (Argentine government data)
Last Updated: 2025-11-17