[Purpose/significance] A comprehensive analysis of the complexity of data problems and the deep logic be⁃ hind them has important theoretical and practical guiding significance for grasping the core crux of scientific research data management and improving the scientific research data management performance. [Method/process] This paper uses Bourdieu's "field- habitus" theory to break through the limitation of traditional binary opposition, and aims to deeply reveal the practical problems of data power, subject behavior and resource allocation in scientific research data management.By selecting the retraction papers of periodicals included by WOS and Retraction Watch as the analysis objects, and using statistical analysis, comparative analysis and scientometrics methods, it is found that the current sci⁃ entific research data management problems in China were generally showing a trend of excessive growth, variable type, complexity hierarchy, intertwined reasons, plural subject, and wide distribution. [Result/conclusion] The results show that, data problem mapping scientific research data management value deviation, and the differential mode of associa⁃ tion in scientific research data management subject、the poor data management practices habitus、profit-seeking behav⁃ ior、absence of policy supervision. Therefore, the scientific research data management in China should address both symptoms and root causes. It is necessary not only to effectively optimize the academic evaluation system, improve the management system of scientific research integrity, but also to balance the incentive and distribution pattern of scientif⁃ ic research data management, improve data literacyand the scientific research data management system.