数据空间建设为数据要素的价值实现提供了可资借鉴的实践经验，全面解析其实践进展与运营模式，有助于破解数据流通的现实堵点、拓展数据利用的发展思路。文章首先将结构主义分析方法中的案例研究法作为主要研究方法，综合运用文献调研、比较分析等方法，以Data Spaces Radar为案例来源，从实践进展、运营模式、核心要素等维度提炼数据空间建设特征。其次，在制度与技术的双轮驱动下，数据空间建设秉持制度规范统一性、技术设计整体性和治理模式协同性的架构原则，并按照产业思维、底线思维、信任思维、链式思维、集约思维的底层逻辑，形成较为完整的运营体系。未来应着力探索和解决数据空间视域下的数据资源价值化开发路径，针对数据流通堵点、利用痛点及信任难点问题，从体制机制、政策框架与技术应用等角度为推进我国的数据要素流通利用提供有益参考。

Constructing data spaces offers valuable insights into optimizing the value of data factor. A comprehensive analysis of its practical advancement and operation mode can help overcome the actual barriers to data circulation and enhance the conceptual development of data utilization. Firstly, this paper takes the case studies method within the structuralism analysis framework as the main research method, and comprehensively applies literature review and comparative analysis. Based on cases of Data Spaces Radar, this paper delineates the characteristics of data spaces construction across various dimensions, including practical progress, operation mode, and core factors. Secondly, propelled by the dual wheels of institution and technology, the construction of data spaces follows architectural principles that emphasize the harmony of institutional norms, the integrity of technological design, and the synergy of governance mode and creates a more robust operation system that aligns with the fundamental logics of industrial, bottom-line, trust, chain, and intensive thinking. In the future, efforts should focus on exploring and addressing the development path of data resource valued in the perspective of data spaces. By concentrating on the barriers to data circulation, the pain points in utilization, and the challenges of trust, this paper aims to provide valuable references for promoting the circulation and utilization of data factors in China from the perspectives of institutional mechanisms, policy frameworks, and technological applications.