Author Information
Warong Naivinit, Kanchanaburi Rajabhat University, ThailandSutat Gammanee, Kanchanaburi Rajabhat University, Thailand
Sureewan Jangjit, Kanchanaburi Rajabhat University, Thailand
Chanakit Mitsongkore, Kanchanaburi Rajabhat University, Thailand
Abstract
Cultural Map Thailand is a national digital repository of cultural assets, yet early data inconsistencies limited its usefulness. This study introduces an integrated quality-control framework combining PHP filtering, Excel Power Query, GIS validation, AI-assisted screening, and social verification which refined 6,403 entries to 5,204 qualified datasets. A prototype system dynamics model was also developed to support collective scenario exploration, linking cultural capital, investment flows, social engagement, and policy timing. The results demonstrate that data-driven and participatory methods significantly improve cultural data reliability and reinforce evidence-based cultural governance.
Paper Information
Conference: KAMC2025Stream: Cultural Studies
This paper is part of the KAMC2025 Conference Proceedings (View)
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To cite this article:
Naivinit W., Gammanee S., Jangjit S., & Mitsongkore C. (2026) An Integrated Data Quality Control Framework Toward Collective Cultural Scenario Exploration ISSN: 2436-0503 – The Kyoto Conference on Arts, Media & Culture 2025: Official Conference Proceedings (pp. 379-394) https://doi.org/10.22492/issn.2436-0503.2025.31
To link to this article: https://doi.org/10.22492/issn.2436-0503.2025.31
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