Open AccessMethod for Calculating the Weights of Internet + Government Service Data Quality Assessment Indexes Based on Analytic Hierarchy Process
Author(s) -
LI Ya,
Song Heliang,
Yingcheng Xu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1584/1/012043
Subject(s) - analytic hierarchy process , computer science , data quality , quality (philosophy) , government (linguistics) , service (business) , the internet , operability , service quality , data mining , data access layer , analytic network process , quality of service , big data , data science , data modeling , operations research , database , engineering , world wide web , business , computer network , marketing , philosophy , linguistics , software engineering , epistemology
In this paper, research and analysis have been carried out on the theories related to Internet + government service data quality. Based on the principles of scientificity, systematicness, development, and operability, an Internet + government service data quality assessment index system suitable for China’s big data era has been proposed, this index system is proposed from five aspects: inherent quality of data, quality of data expression, system-related scenario quality, utility quality of data, and user experience quality of data. The analytic hierarchy process method has been used to analyze the relationship between indexes at the criterion layer, the sub-criterion layer and the objective layer, and the weights of the data quality assessment indexes at each layer were determined. The method proposed in this paper provides an idea for the assessment of government service data quality and has certain practical significance, laying a theoretical foundation for the related work of Internet + government service data quality assessment.