Data Quality Rules are a set of criteria or constraints used to ensure the accuracy, completeness, reliability, and relevance of data within a system. These rules are applied to data assets to validate and cleanse data, enforce data standards, and prevent data errors. They are crucial in data governance and management, helping maintain high-quality data that is fit for decision-making and operational purposes.