In the field of catalysis, data management is crucial for several reasons. It ensures the integrity, accuracy, and reproducibility of experimental results. Proper data management allows researchers to store, organize, and retrieve large volumes of experimental data efficiently. This is particularly important given the complexity and volume of data generated in catalytic studies, which often involve multiple variables and extensive datasets.
