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In order to insure the quality of battlefield information guarantee, promote efficiency of data management, and mining these values of data, a data management approach for battlefield data of targets and environment is studied in this paper. Concepts of targets and environment are introduced, these originals of data are discussed and classified, and these characters of data are analyzed. By describing data processing, establishing an organization, grading data qualities, the data of targets and environment is incremented in this processing with a data management standard system of system and the information recommending services base-on knowledge. An example is introduced to illustrate the data management process vividly. Finally the suggestions to improve data management are given. Empirical results show that the approach can insure qualities of information guarantee, promote efficiency of data management and increment data value. By enhancing the data management of targets and environment, costs can be cut down, efficiency can be improved, and resource deployment can be optimized.