［目的/意义］数字经济与生成式AI的融合加剧了数据流通中的信任危机，推动可信数据空间建设成为破解困境的关键路径。系统比较图书馆、档案机构与数据中介机构的差异与互补性，对优化学科实践、构建协同治理体系具有重要意义。［方法/过程］聚焦信息资源管理领域可信数据空间构建，比较图书馆、档案机构与数据中介机构在数据可信性、数据治理成熟度、数据流通效率与社会公信力方面的差异。［结果/结论］三类主体机构在可信数据空间建设标准方面存在不同程度的差异；提出以学科优势补齐技术短板、建立以场景为核心的分工协同机制、构建激励相容与动态协同的治理框架的治理策略，为AIGC时代可信数据空间建设提供理论框架与路径选择。

[Purpose/significance] The integration of the digital economy and generative AI has exacerbated the trust crisis in data circulation, making the construction of a trusted data space a key path to break through the predicament.Systematically analyze libraries, archives, and data intermediaries institutions′ differences and complementarities are of significant importance for optimizing disciplinary practices and building a collaborative governance system. [Meth⁃od/process] This paper centers on the construction of trusted data space within the realm of information resource man⁃agement. It compares the differences among libraries, archival institutions, and data intermediaries institutionsin as⁃pects including data trustworthiness, data governance maturity, data circulation efficiency, and social credibility. [Re⁃sult/conclusion] Three types of subject institutions have varying degrees of differences in the standards for building a trusted data space. The governance strategies proposed include leveraging disciplinary advantages to make up for tech⁃nical deficiencies, establishing a division of labor and collaboration mechanism centered on scenarios, and constructing a governance framework that is incentive-compatible and dynamically coordinated. These strategies provide a theoreti⁃cal framework and path selection for the construction of a trusted data space in the AIGC era.