In catalysis, researchers rely on experimental data to understand catalytic mechanisms, evaluate catalyst performance, and develop new catalytic materials. Poor data quality can lead to incorrect conclusions, wasted resources, and potentially unsafe industrial processes. High-quality data enables researchers to make informed decisions, optimize conditions, and scale up processes with confidence.
