Data Quality Management in the Data Age

Haiyan Yu is an Associate Professor at Chongqing University of Posts and Telecommunications (China). He obtained his Ph.D. from Tianjin University in 2015. Subsequently, he served as a Postdoctoral Fellow at the University of Electronic Science and Technology of China from 2016 to 2017, and at Pennsylvania State University (US) from 2017 to 2020. Additionally, he was a Visiting Scholar at Purdue University (US) from 2020 to 2021. His research interests include causal inference and machine learning, personalized medicine, quality management, constrained optimization, and clinical decision support systems.

• Introduction of data quality management.- Quality management in Data Science.- Pillars of data quality management.- Tools of data quality management.- Experimental designs for data quality control.- High-quality data collection in data markets.- Ghost data in data quality management.- Summary.