While quality is crucial, the quantity of data also plays a significant role in catalysis research. Sufficient data quantity allows for comprehensive statistical analyses, which can identify trends and correlations that may not be apparent from a limited dataset. It also enhances the robustness of computational models and simulations, increasing confidence in predictive outcomes.
