Collaborative data is crucial for several reasons. Firstly, it promotes innovation by allowing researchers to build on each other’s work. Secondly, it enhances the reproducibility of experimental results, which is a cornerstone of scientific integrity. Finally, it accelerates the discovery and optimization of catalysts by combining diverse expertise and technological capabilities.
