Upgrading Data Governance to Improve Disability-Related Services in Thailand

Ensuring effective data governance is essential for delivering transparent, accessible, and equitable public services, particularly for people with disabilities. However, chal-lenges such as gaps in data oversight and accountability hinder service efficiency and transparency. This study examines the relationship between data-driven culture, audit data governance, and public service performance, employing Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Path Analysis. The findings indicate that a strong data-driven culture enhances audit data governance, improving service transparency, accessibility, and user satisfaction for people with disabilities. Public service delivery significantly influences audit data governance through data accessibility, ethical management, and efficient administrative processes. To promote inclusive governance, this study highlights the need for open data policies, in-ter-agency collaboration, and emerging technologies such as AI and blockchain. Policy recommendations focus on data-driven decision-making frameworks that align with OECD principles, ensuring equitable and accountable public services for people with disabilities.