[Purpose/significance] Centering on the enhancement of data governance capabilities, systematically investigate the intrinsic mechanisms and implementation pathways through which trusted data spaces enable value co-creation between government and enterprise data elements. [Method/process] The article elucidates the logical progression of this spatial empowerment: an evolutionary shift from static exchange to dynamic value addition, data silos to data interconnection, value sharing to value co-creation, and ad hoc cooperation to routine collaboration. It then details
the enabling mechanisms: trust-building for government-enterprise data exchange through mutual trust and interconnection, allocation efficiency of data elements via integration and optimization, and the multiplier effect of data value through sharing and coordination. Regarding implementation pathways, drawing on the TIME framework, it proposes a four-dimensional strategy: advancing data element iteration at the technological level, fostering a multi-stakeholder and trusted data circulation ecosystem at the institutional level, optimizing data circulation types at the model level,and establishing an agile data governance system at the regulatory level. [Result/conclusion] The practical recommendations offered in this paper provide a valuable reference for facilitating government-enterprise data cooperation and offer actionable insights for accelerating the high-quality development of data governance in China.