Since the country has designated"data"as a new factor of production,it is crucial to achieve intelligent assessment and closed-loop quality management for data asset quality.This article,focusing on data asset quality assessment,analyzes and studies the current status and challenges of data asset assessment and management.It systematically explores the principles,methods,and models of data asset quality assessment,and introduces a quality adjustment coefficient to enhance the accuracy of evaluation results.This aims to optimize data asset valuation theories and methods,carry out data asset quality assessment application pilots,and promote the realization of data asset value.
Data Asset ManagementQuality AssessmentValue AssessmentData Factor Market Development
NETL
NSTL
维普
万方数据
