[目的/意义]围绕数据治理能力建设这一核心目标，对可信数据空间赋能政府与企业数据要素价值共创的内在机理与实现路径进行系统性探讨。[方法/过程]文章深入阐释了该空间赋能的逻辑进路：从静态交换转向动态增值、从数据孤岛走向数据链接、从价值共享迈向价值共创、从即时合作趋向常态合作的演进逻辑，详细论述了该空间赋能实现机制：通过互信互联机制构建政企数据交换的信任基础，通过整合优化机制提升数据要素的配置效率，通过共享协同机制激发数据价值的乘数效应。在具体实现路径上，基于TIME框架理论提出了四维策略：在技术层面深度推进数据要素的迭代，在机构层面建立多元协同的可信数据流通生态，在模式层面优化数据流通的类型，在监管层面建立数据敏捷治理体系。[结果/结论]文章所提出的实践建议能为推动政企数据合作提供有益参照，对加速我国数据治理高质量发展具有现实借鉴价值。

[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.