Quality Management in Data Science

Obtaining high-quality data is of paramount importance for contemporary decision-making models. Despite the progress in data quality theory and methodologies, data quality control continues to face novel challenges within the domain of data science. This chapter delves into the subject of data science, addressing the issues associated with low-quality data, the requirements and expectations for data quality, and the role of data quality in statistics and data science.