[目的/意义]科研诚信是科技创新的基石，随着数据驱动型研究范式的普及推广，数据伪造、篡改等科研 不端现象频发，凸显了科研诚信管理与科研数据管理之间紧密关联。[方法/过程]文章综合运用系统分析法、案例 分析法、比较分析法，分析科研诚信管理与科研数据管理联动发展的交互强化作用、渐进累加作用，并以活动理论 为指导从诚信管理主体、客体、规则、技术、共同体、分工六要素及其互动关系出发，探讨当前科研诚信管理困境。 [结果/结论]文章建构了数据管理视角下科研诚信管理解释性框架，并提出科研诚信管理与数据管理联动共进的 发展路径，包括以完备的数据制度推进诚信管理的整体布局，以精准的数据质量推动诚信管理的体系建构，以高 效的数据开发深化诚信管理内生动力。

 [Purpose/significance] Scientific research integrity is the cornerstone of scientific and technological inno⁃ vation. With the popularization of data-driven research paradigm, the proportion of scientific research misconduct such as data falsification and tampering has increased significantly, highlighting the close internal relationship between sci⁃ entific research integrity management and scientific research data management. [Method/process] This paper compre⁃ hensively uses system analysis method, case analysis method and comparative analysis method to analyze the interac⁃ tive strengthening effect and gradual accumulation effect of the linkage development of scientific research integrity man⁃ agement and scientific research data management, and then discusses the current predicament of scientific research in⁃ tegrity management from the six elements of subject, object, rule, technology, community and division of labor and their interactive relations under the guidance of activity theory. [Result/conclusion] This paper builds an explanatory frame⁃ work for scientific research integrity management from the perspective of data management, and puts forward a joint de⁃ velopment path of integrity management and data management, including promoting the overall layout of scientific integ⁃ rity management with complete data system, promoting the system construction of integrity management with high data quality, and deepening the internal driving force of scientific integrity management with efficient data development.