The importance of data validation cannot be overstated. Inaccurate or unreliable data can lead to incorrect conclusions, flawed theoretical models, and inefficient catalyst design. Validated data ensures that scientific findings are reproducible and trustworthy, which is essential for advancing catalysis research and applications.