Databases are crucial in catalysis for several reasons:
Data Management: They facilitate the organization and management of large volumes of data generated from experimental and computational studies. Data Sharing: They enable the sharing of data among researchers, fostering collaboration and accelerating research progress. Data Mining: They allow for advanced data mining techniques to identify trends and correlations that might not be apparent from individual studies. Reproducibility: They help ensure the reproducibility of experiments by providing detailed records of conditions and results.
