An integrated model of national data platform and real-time policy feedback to enhance the effectiveness of innovative startup support in Vietnam after resolutions No. 57-NQ/TW and 68-NQ/TW

Abstract

This paper proposes an integrated model that combines the National Data Platform with a real-time policy feedback mechanism (referred to as DPI–RTPF) to improve the effectiveness of innovation and startup (I&S) policy implementation in the context of Vietnam’s enactment of Resolution No. 57-NQ/TW and Resolution No. 68-NQ/TW. Drawing on data governance theories and lessons from successful international cases such as Singapore, Estonia, and the United Kingdom, the paper outlines a four-layer functional framework: collection and integration of I&S data; real-time feedback analysis using AI; multi-stakeholder information visualization via dashboards; and short-cycle policy adjustments. Based on an analysis of the current situation in Vietnam, the study identifies significant gaps in legal institutions, technological capacity, and cross-sectoral coordination in order to propose the phased implementation of the DPI–RTPF model, beginning with pilot programs in localities with advanced I&S ecosystems, followed by the gradual completion of the legal framework, data infrastructure, and policy coordination mechanisms. The proposed model not only addresses delays and one-way flows in current policy execution but also establishes the foundation for a data-driven, transparent, and adaptive innovation governance approach in the digital transformation era.