Abstract: Integrity management is a scientific decision-making methodology based on data. Data management, as the basis of integrity management, has a direct impact on the implementation of integrity management. In this paper, the scope of the data (9 themes, 61 categories) was clarified according to the current situations of PetroChina's pipeline integrity management. Owing to its support for the fine management, the best balance between safety and economy is achieved. After being converted from the risk expert performed evaluation to the data analyst performed risk analysis, the goal of data management is then developed into the big data based integrity management. As a result, pipeline management has been changed profoundly at both macro and micro levels. After the status and challenges of data management were analyzed, it was pointed out that the following four key technologies should be improved, i.e., data model technology of pipeline linear asset data management, multidimensional time-space data management, data alignment and data utilization. In order to meet the national and public requirements for pipeline safety and environmental protection and to relieve the ever increasing cost and profit pressure of the oil industry, the in-depth integration trend of business and data in future pipeline integrity management is predicated so as to determine the development direction of data management technologies at the next stage.