[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.