Due to these characteristics, SURF has advantages when compared to other means of currently available reaction data documentation and storage possibilities (Table ). Specifically, the hybrid structure of SURF, i.e., usable by humans and machines, bridges the gap between the laboratory and data science worlds. Previously available reaction formats have focused on being either human-editable or machine-readable, often focusing on the latter. SURF, on the other hand, empowers experimentalists to document reaction data in a flexible yet comprehensive manner, without necessitating any IT expertise. It concurrently generates machine-readable files suitable for data analysis or machine learning applications.