Construction of Data Quality Evaluation Index for Manufacturing Multi-value Chain Collaborative Data Space Based on the Whole Life Cycle of Data

Abstract

As a new data management model, data space can effectively manage a large amount of multi-heterogeneous dynamic data, but the construction of data space often needs to be based on accurate and scientific original data and to obtain valuable information in data, which poses a challenge to the data quality control of the whole life cycle of data, so it is especially important to evaluate the data quality. By analyzing the synergistic effect of multi-value chain in manufacturing industry and combining the dynamic system of the whole life cycle of data, the data quality evaluation index system is proposed from three aspects of data provider, data space construction and data user, combining four levels of data itself, technology, data flow layer and data management. Through the construction of AHP-TOPSIS data quality evaluation model, AHP is used to determine the index weight, TOPSIS is used to calculate the ideal solution and relative closeness degree, and the evaluation results are obtained. Through the application analysis of examples, quantitative evaluation of data quality, the construction, access and mining of multi-value chain collaborative data space can provide practical experience.