Abstract: Industrial data governance has been the concentrated embodiment of the digital and intelligent transformation in the field of traditional industries. Based on the four core issues of industrial data, multi-source and heterogeneous, dividend release, value mining, system compatibility, this paper has researched and judged the internal causes and practical obstacles of governance. Further, from the perspective of comparison between China and Germany, the characteristics and laws of industrial data governance under the influence of different systems and mechanisms have been summarized. As a conclusion, this paper has found that the core feature of industrial data governance is value co-creation, and the theoretical basis could be constructed from three dimensions of strategic management, innovation management and industrial engineering management, which provided a theoretical reference for the practice and policy formulation of industrial data governance in China.

摘要： 工业数据治理是传统工业向数字化和智能化转变的集中体现。本文从工业数据多源异构、红利释放、价值挖掘和体系兼容四个核心议题出发，研判了治理的内在动因与现实障碍。并且从中德对比的角度，进一步总结不同体制机制影响下工业数据治理的特征规律。研究发现，工业数据治理的核心特征是价值共创，可以从战略管理、创新管理和工业工程管理三个维度架构理论基础。研究结论为我国工业数据治理的实践及政策制定提供理论参考。