
Jherome Miguel contributed to the osmlab/name-suggestion-index repository by enhancing global and regional transit data management, focusing on geospatial accuracy and data consistency. He implemented international name suggestion indexing for Denny’s, standardized transit network tagging across major Canadian cities, and improved educational institution data by integrating Wikidata identifiers. For Philippine transit, he introduced geofenced regional routing data, expanded geojson integration, and refined route name matching to align with LTFRB conventions. Using Python, JavaScript, and JSON, Jherome applied disciplined configuration management and data curation practices, resulting in more reliable routing, improved mapping accuracy, and a robust, maintainable data model.
2025-11 monthly summary: Implemented LTFRB Regional Routing Data and Mapping Enhancements for the osmlab/name-suggestion-index, focusing on data quality, regional coverage, and mapping accuracy. Key activities included geofenced regional values replacing generic LTFRB tags, expanding geofence presets to cover Central Luzon and CALABARZON, updating route name matching, and adding geojson references to bus data to support better mapping and route planning. Result: more accurate regional tagging, improved cross-regional routing, and a robust data model for LTFRB networks.
2025-11 monthly summary: Implemented LTFRB Regional Routing Data and Mapping Enhancements for the osmlab/name-suggestion-index, focusing on data quality, regional coverage, and mapping accuracy. Key activities included geofenced regional values replacing generic LTFRB tags, expanding geofence presets to cover Central Luzon and CALABARZON, updating route name matching, and adding geojson references to bus data to support better mapping and route planning. Result: more accurate regional tagging, improved cross-regional routing, and a robust data model for LTFRB networks.
October 2025 monthly summary for osmlab/name-suggestion-index. The period focused on improving transit data tagging and network categorization across Calgary, Edmonton, and Toronto, and tightening data accuracy for educational institutions. Key outcomes include standardized transit network tagging and revised network hierarchy (e.g., Calgary CTrain categorized as network:metro under Calgary Transit), updates to Toronto subway tags, and reclassification of Edmonton LRT network to ETS with removal of non-ETS operator tags. In education data, added missing Wikidata identifiers for Elk Island Public Schools and corrected operator types for Elk Island Catholic Schools. These changes enhance data consistency, improve downstream routing and analytics, and reduce data drift.
October 2025 monthly summary for osmlab/name-suggestion-index. The period focused on improving transit data tagging and network categorization across Calgary, Edmonton, and Toronto, and tightening data accuracy for educational institutions. Key outcomes include standardized transit network tagging and revised network hierarchy (e.g., Calgary CTrain categorized as network:metro under Calgary Transit), updates to Toronto subway tags, and reclassification of Edmonton LRT network to ETS with removal of non-ETS operator tags. In education data, added missing Wikidata identifiers for Elk Island Public Schools and corrected operator types for Elk Island Catholic Schools. These changes enhance data consistency, improve downstream routing and analytics, and reduce data drift.
February 2025 monthly summary focusing on the osmlab/name-suggestion-index work. Delivered a global Denny's name suggestion indexing update, expanding coverage to international users while excluding Japan per localization scope. The change improves auto-suggest accuracy and aligns with the project’s internationalization goals.
February 2025 monthly summary focusing on the osmlab/name-suggestion-index work. Delivered a global Denny's name suggestion indexing update, expanding coverage to international users while excluding Japan per localization scope. The change improves auto-suggest accuracy and aligns with the project’s internationalization goals.

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