Abstract: The standards of dyke engineering data should be determined and the standardization schemes of different types of data should be defined in an aim to enhance effective data collection, orderly storage, and rapid and accurate analysis and utilization. In this paper, the status quo of data standardization research in China and abroad are investigated in eight aspects, namely, engineering data, hydrometeorological data, humanistic and economic data, geographic data, geological data, geophysical data, danger data, and monitoring data involved in dyke engineering. The standardization of dyke engineering data should include three contents: structured data, unstructured data, data warehousing and cleaning. Structured data can be standardized through data classification, data coding, and table design; unstructured data can be standardized via describing key information of documents by Java Script Object Notation(JSON) storing the documents together with JSON in the database; the efficiency of data standardization can be improved by uniform data warehousing and dynamic cleaning.

Key words: dyke engineering, data standardization, data warehousing and cleaning, JSON, water conservancy informatization