Study on the compilation of Beijing water affairs data catalog
YIN Xiaonan
Abstract：In recent years,China has vigorously promoted the development of digital government and government big data systems.As a part of government data,water affairs data requires a well-structured and comprehensive data catalog to serve as the fundamental basis for integrated data management.Based on an analysis of existing data classification and metadata model standards,and a review of the current status of water data resources in Beijing,this study proposes a responsibility-based line classification method.The data is categorized into three hierarchical levels:the first level includes four categories,including basic data,monitoring and sensing data,business data,and administrative management data,which are further refined into 38 secondary and 160 tertiary categories.Drawing on government metadata standards,water-related metadata,and data classification guidelines,metadata elements and coding rules tailored to the usage habits of Beijing's water affairs professionals are proposed.The outcomes have been applied in the practice of compiling Beijing's water affairs data catalog,demonstrating a stable classification structure with clear,non-overlapping boundaries.This approach offers a valuable reference for structuring data classification and provides methodologies applicable to other sectors and regional water affairs data catalog development.
Keywords：water affairs datadata catalogdata classificationmetadatametadata model
Publication Date：2025-07-30
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 66-72 )