Abstract:  [Purpose/Significance] Under the strategy of the national cultural digitization, the collaborative governance of public cultural data has become an extremely important practical problem to promote the accessing and sharing of public cultural data, build the cultural data service platforms and promote the construction of the national cultural big data system. So it is urgent to explore its basic theories and governance framework. [Design/Methodology] Using the subject analysis method, the paper disassembles the core elements of the data collaborative governance in literatures, and forms the connotation of public cultural data collaborative governance with the characteristics of public cultural data. Using the model building method, this study further constructs the overall theoretical framework of public cultural data collaborative governance according to the objectives and functions of all levels. [Findings/Conclusion] The findings show that collaborative governance of public cultural data is a nonlinear dynamic process driven by data and has the characteristics of publicity, openness, interactivity and instrumentality, in which multi-cultural data subjects participate in and coordinate to complete public culture management and service.This paper constructs a multi-level, whole-process and multi-factor theoretical framework of collaborative governance of public cultural data. [Originality/Value] Researches on the basic theory of collaborative governance of public cultural could deepen the theoretical system and reveal the operating mechanism of collaborative governance of public cultural, all of which can provide a reference for exploring the governance path with Chinese characteristics.

Keywords: Public cultural data, Data collaborative governance, Data governance, Data collaboration, Collaborative governance