Construction and Analysis of Data Quality Scale for Manufacturing Multi-Value Chain Collaborative Data Space Based on Combinatorial Empowerment Model

In the management of data space, data quality is very important to realize the value of data. How to improve data quality and tap the potential value of data, this paper proposes a five-dimensional scale of data quality based on manufacturing multi-value chain collaborative data space, which includes five dimensions of data generation, data acquisition, pre-access processing, architecture construction and data access, which effectively makes up for the shortcomings of current literature. Meanwhile, the improved CRITIC model weighting method and the combined weighting model of principal component weighting method were established to calculate the data quality index and sub-index, and the data quality level and sub-index level of manufacturing enterprises in Beijing were evaluated. By developing and analyzing the scale of data quality, we provide practical experience for value mining of collaborative data space data of multi-value chain in manufacturing industry.