Data quality refers to the condition of data based on factors such as accuracy, completeness, consistency, reliability, and relevance. In the field of catalysis, data quality is crucial for obtaining reliable and reproducible results. High-quality data ensures that catalytic processes can be optimized effectively, leading to advancements in catalysis research and industrial applications.
