Maintaining data integrity is crucial because it underpins the validity of scientific findings. Accurate data allows researchers to draw meaningful conclusions and develop new catalytic materials and processes. Poor data integrity can lead to erroneous conclusions, wasted resources, and potentially unsafe or ineffective catalytic processes.
