The digitisation of research processes is essential for increasing the efficiency of research processes and is the keystone that supports transparent and reusable science. Further, the success of research data management strategies depends heavily on the establishment of fully digital workflows as digital processes make it easier to generate FAIR data. In many research areas, especially those that rely heavily on computation, most workflows are natively digital. Science laboratories, on the other hand, often constitute a challenging environment with regards to digitalisation of all workflows because they rely on a combination of measurement technologies, analytical processes and experimental techniques that are documented (mostly) manually.