Secondly, although text-mining techniques could process chemical information from literature, including properties and structures of molecules, and reaction conditions, sometimes it is hard to identify reaction participants as they may appear in different sections of a publication. This aspect is being addressed by creating clear templates for presenting and storing reaction data, such as the Open Reaction Database project. For data to be useful for machine learning tasks and for automated tasks of process development, it is necessary for existing data to be recalibrated to include the missing reaction participants and reduce the noise in the datasets.