[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.