Research on the Construction of a Public Data Asset Quality Evaluation System
Given the current practical context of promoting digital economic development through better data asset management,the evaluation of public data asset quality is crucial for achieving high-quality data supply and releasing data value effectively. This process is closely related to all aspects of public data assets,including pricing,accounting,operation and auditing. This paper first clarifies the connotation of data asset quality,then reviews and compares data quality assessment documents at international,national,and local levels. Using the Delphi method,we identify an evaluation index system encompassing three major dimensions:data content quality,process quality,and value quality. Also,the Analytic Hierarchy Process (AHP) is employed to determine the weights of each index,thereby we construct a quality evaluation system for China's public data assets. The weighting results show that value quality is the primary factor which determines the quality of public data assets,followed by content quality and process quality. Among these,the economic or public beneficial applications of public data represents their management service potential and economic benefits,forming the core requirements of the public data asset quality evaluation.
Public dataData assetsData qualityAnalytic hierarchy process (AHP)Evaluation system
NETL
NSTL
万方数据
