基于数据责任人制的数据治理平台构建研究

Research on the Construction of a Data Governance Platform Based on the Data Stewardship System

摘要: 在数字经济深化应用与数据要素市场化的时代背景下，数据治理已成为公司挖掘数据价值、驱动数字化转型的核心基础。然而，传统治理模式普遍面临责任主体模糊、跨部门协同困难、治理流程难以闭环等瓶颈，导致治理效果可持续性不足。数据责任人制通过明确数据在产生、流转、应用全生命周期的责任归属，为解决上述困境提供了有效的制度抓手。本文通过构建基于数据责任人制的数据治理平台，将治理责任固化为可执行、可追踪、可评价的线上工作流，从而驱动治理模式从“运动式”向“嵌入式”的根本转变，该模式能够有效落实数据管理责任，实现数据质量问题的精准追溯与闭环治理，为公司数字化转型提供坚实的数据支撑。

Abstract: Against the backdrop of the deepening application of digital economy and the marketization of data elements, data governance has become a core foundation for enterprises to unlock data value and drive digital transformation. However, traditional governance models commonly face bottlenecks such as ambiguous responsibility subjects, difficulties in cross-departmental collaboration, and challenges in achieving closed-loop governance processes, leading to insufficient sustainability of governance effectiveness. The data ownership system provides an effective institutional by clarifying responsibility attribution throughout the entire lifecycle of data, including its generation, circulation, and application. This paper constructs a data governance platform based on the data stewardship system, solidifying governance responsibilities into executable, traceable, and evaluable online workflows. This approach drives a fundamental transformation in governance models from “campaign-style” to “embedded”, effectively implementing data management responsibilities, enabling precise traceability and closed-loop governance of data quality issues, and providing robust data support for enterprise digital transformation.