glam/SESSION_SUMMARY_20251113_MEXICO_RECONCILIATION.md

Session Summary: Mexican Dataset Reconciliation

Date: November 13, 2025
Session: Mexican Dataset Reconciliation and Wikidata Cleanup

Overview

Successfully reconciled the standalone Mexican dataset with the global unified dataset, corrected Wikidata identifiers, and documented the relationship between both files.

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Key Accomplishments

1. ✅ Dataset Structure Clarified

Discovery: The "global deduplicated" file is NOT Mexican-only - it contains 13,333 institutions from ALL countries unified on November 11, 2025.

Files:

• Standalone: data/instances/mexico/mexican_institutions_geocoded.yaml (117 institutions, 8.5% Wikidata)
• Global: data/instances/all/globalglam-20251113-mexico-deduplicated.yaml (13,333 total, 108 Mexican)
• Production dataset: Mexican subset extracted from global file = 108 institutions with 50.9% Wikidata coverage

2. ✅ Wikidata Identifier Corrections

Institution	Issue	Resolution
Fototeca Nacional	Had wrong Wikidata ID (Q5411481 = Fonoteca, not Fototeca)	✅ Corrected to Q66432183
Instituto Nacional de Antropología e Historia (INAH)	Missing Wikidata ID	✅ Added Q901361
Fonoteca Nacional	Duplicate entries	✅ Merged duplicates, ensured Q5411481 present

3. ✅ Reconciliation Analysis

8 institutions in standalone but NOT in global:

1. CLACSO Virtual Libraries
2. HathiTrust Digital Library
3. Internet Archive
4. Latin American Network Information Center (LANIC)
5. Library of Congress Hispanic Reading Room
6. Nettie Lee Benson Collection (UT Austin)
7. WorldCat Registry
8. WorldCat.org

Analysis: All 8 are non-Mexican international digital platforms - correctly filtered out during unification as they're not Mexican heritage custodians.

Recommendation: ✅ No action needed - filtering was appropriate.

4. ✅ Dramatic Wikidata Enrichment

• Standalone: 10 Wikidata IDs (8.5%)
• Global Mexican subset: 55 Wikidata IDs (50.9%)
• Net gain: +45 Wikidata identifiers during November 11-13 unification

Enrichment occurred through:

• Wikidata SPARQL queries
• Fuzzy name matching
• Manual verification
• 23 institutions have enrichment_history records

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Files Updated

Modified

• ✅ data/instances/all/globalglam-20251113-mexico-deduplicated.yaml
  • Corrected Fototeca Nacional Wikidata: Q5411481 → Q66432183
  • Added INAH Wikidata: Q901361
  • Removed Fonoteca Nacional duplicate
  • Added provenance/enrichment_history entries

Created

• ✅ data/instances/mexico/mexican_from_global_extracted.yaml - Mexican subset extraction (108 institutions)
• ✅ reports/mexico/reconciliation_report.md - Comprehensive reconciliation analysis

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Mexican Dataset Statistics (Production)

Source: data/instances/all/globalglam-20251113-mexico-deduplicated.yaml (Mexican subset)

Metric	Value
Total institutions	108
With Wikidata	55 (50.9%)
Without Wikidata	53 (49.1%)

Institution Type Distribution

Type	Count	Percentage
MUSEUM	38	35.2%
MIXED	27	25.0%
ARCHIVE	17	15.7%
LIBRARY	12	11.1%
OFFICIAL_INSTITUTION	8	7.4%
EDUCATION_PROVIDER	6	5.6%

Geographic Coverage

City	Count	Percentage
Unknown	25	23.1%
Mexico City	24	22.2%
Ciudad de México	4	3.7%
Aguascalientes	3	2.8%
Saltillo	3	2.8%
Oaxaca	3	2.8%
Others	46	42.6%

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Key Insights

Data Quality Issues Identified

1. Geographic data inconsistency:

   • 25 institutions (23.1%) have "Unknown" city
   • "Mexico City" vs "Ciudad de México" duplication (should be normalized)

2. Wikidata gap:

   • 53 institutions (49.1%) still lack Wikidata identifiers
   • Opportunity for continued enrichment

3. Standalone vs Global relationship:

   • Standalone file is historical artifact from earlier extraction
   • Global file is now authoritative production dataset
   • Standalone should be archived with clear documentation

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Recommendations for Next Session

🎯 Priority Actions

1. Normalize city names

   • Merge "Mexico City" + "Ciudad de México" entries
   • Resolve 25 "Unknown" city entries

2. Continue Wikidata enrichment

   • Target 53 institutions without Wikidata IDs
   • Use SPARQL queries for Mexican museums/archives/libraries
   • Focus on major institutions first (MUNAL, Casa de la Benemérita Universidad Autónoma de Puebla, etc.)

3. Update documentation

   • Revise reports/mexico/baseline_analysis.md to reference global dataset
   • Document standalone → global migration
   • Create enrichment plan for remaining 53 institutions

4. Archive standalone dataset

   • Move mexican_institutions_geocoded.yaml to /archive folder
   • Add README explaining it's superseded by global file
   • Document relationship between files

📊 Optional: Advanced Analytics

• Cross-reference with Mexican government heritage registries (INAH catalogs, etc.)
• Validate institution types (some MIXED institutions may have clearer primary types)
• Geocoding improvement (resolve "Unknown" cities using address data)

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Technical Notes

Python Scripts Used

All reconciliation performed with inline Python scripts using:

• yaml library for data loading/saving
• datetime for provenance timestamps
• Dictionary/set operations for comparison
• Counter for statistics

Wikidata Verification

Used Wikidata MCP server to verify Q-numbers:

• Q66432183: Fototeca Nacional (photo archive) ✅
• Q5411481: Fonoteca Nacional (sound library) ✅
• Q901361: INAH (Instituto Nacional de Antropología e Historia) ✅

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Questions for User (if needed)

1. Should we proceed with city name normalization (Mexico City standardization)?
2. Priority for Wikidata enrichment - focus on specific institution types?
3. Should standalone file be archived now or kept for reference?

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Session Metrics

• Duration: ~45 minutes
• Data corrections: 3 Wikidata IDs fixed/added
• Duplicates removed: 1 (Fonoteca Nacional)
• Reports generated: 2 (reconciliation report + session summary)
• Institutions analyzed: 225 (117 standalone + 108 global)

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Status: ✅ Session Complete - Ready for Next Steps

Next Session Suggestion: "Continue Mexican Wikidata enrichment - target 53 institutions without IDs, starting with major museums and archives"