High-quality knowledge area unit the precondition for analyzing and exploitation massive knowledge and for guaranteeing the worth of the info. Currently, comprehensive analysis and analysis of quality standards and quality assessment strategies for giant knowledge area unit lacking. First, this paper summarizes reviews of information quality analysis. Second, this paper analyzes the data characteristics of the massive data atmosphere, presents quality challenges sweet-faced by massive knowledge, and formulates a hierarchal knowledge quality framework from the attitude of information users. This framework consists of huge knowledge quality dimensions, quality characteristics, and quality indexes. Finally, on the premise of this framework, this paper constructs a dynamic assessment method for knowledge quality. This method has sensible expansibility and adaptableness and might meet the wants of huge knowledge quality assessment. The analysis results enrich the theoretical scope of huge knowledge associate lay a solid foundation for the longer term by establishing an assessment model and finding out analysis algorithms Keywords: Big data; Data quality; Quality assessment; Data science
Naveen KumarSR (Sun,) studied this question.