关键词: 数据空间, 数据要素, 政企数据, 高质量数据集, 数据治理, 数智融合

Abstract: [Purpose/Significance] Aiming at the challenges of quality inconsistencies, circulation barriers, and unbalanced rights and responsibilities in the integration of data elements between government and enterprise, guided by the needs for high-quality dataset construction and operation in the context of digital-intelligent integration, this study explores a collaborative governance pathway driven by trusted data spaces, with the aim of resolving multiple dilemmas currently faced by datasets, such as limited quantity, poor quality, and difficulty in use. [Design/Methodology] By constructing a four-in-one integrated operation platform architecture for high-quality datasets based on trusted data spaces, encompassing "data quality improvement–data marketplace–data computation integration–data crowdsourcing innovation," this study designs a long-term operation mechanism with three-level linkage of "city-industry-enterprise". It analyzes the governance rules, technological adaptation, and scenario coupling logic in the integration of government and enterprise data elements driven by trusted data spaces. It proposes a three-pronged promotion paradigm of "scenario driven-mechanism coordination-security guaranteed". [Findings/Conclusion] The construction of the high-quality dataset integrated operation platform achieves the efficient circulation of the entire dataset process,value realization, and a virtuous cycle of data feedback. The development of a data quality "feedback" model forms a closed-loop mechanism of "circulation–value addition–quality improvement", validating the effectiveness of the collaborative governance framework of "regulatory constraints+technical support+commercial incentives". [Originality/Value] This study puts forward the theoretical expansion and practical pathways of "four-in-one" high-quality dataset construction model based on trusted data spaces, breaking through the limitations of the traditional model that "emphasizes construction over operation and technology over institutions". It provides references and decision support for the industry to implement the action plans of "data elements ×" and "artificial intelligence +" in China.

Keywords: Data spaces, Data elements, Government-enterprise data, High-quality datasets, Data governance, Digital-intelligence convergence