
Construction and Practice of Network Data Lifecycle Management System--Based on Metadata-driven Quality Control Strategy
Abstract
This paper focuses on the whole life cycle management of network data, and puts forward the quality control strategy based on metadata drive.By dividing the data life cycle into stages, building a multi-dimensional quality indicator system and designing an integrated framework of "strategy-process-tool-supervision," the Bank will promote the transformation of data quality governance from static control to dynamic closed-loop control.After the empirical application to the smart government platform, the data problem discovery rate, response efficiency and automatic alarm coverage rate have been significantly improved, which verifies the feasibility and effectiveness of the system.The research provides the method support and practice path for the construction of standardized and intelligent data governance mode.How to Cite
References
Dong W ,Sun K ,Ding B , et al.Exploration and practice of high speed EMU digital train based on digital twin[J].High-speed Railway,2025,3(01):54-63.
Xie J ,Sun L ,Zhao F Y .On the Data Quality and Imbalance in Machine Learning-based Design and Manufacturing——A Systematic Review[J].Engineering,2025,45(02):105-131.
Guo P ,Xiao K ,Wang X , et al.Multi-source heterogeneous data access management framework and key technologies for electric power Internet of Things[J].Global Energy Interconnection, 2024,7(01):94-105.
Du B ,Feng B .An Analysis of Policy Ecology of Scientific Data under the Dual Three-dimensional Framework[J].Innovation and Development Policy,2023,5(02):167-194..
Farahani B ,Monsefi K A .Smart and collaborative industrial IoT:A federated learning and data space approach[J].Digital Communications and Networks,2023,9(02):436-447.
Copyright
No license provided.