The usefulness of the described system depends on a meaningful outcome but also on the effort that has to be invested to achieve the intended outcome. A low reviewing effort compared to a traditional review of data is a key requirement to partly replace the current processes in research data repositories or other management systems for research data. Consequently, concepts to automate the described curation processes were integrated for all suitable types of measurements and data. According to our findings, all evaluated data types are generally suitable for automated curation with respect to data availability, readability, standardisation, consistency, and plausibility with limitations particularly for the curation with respect to 1 H NMR plausibility. For the latter, the system requires the support of the reviewer in those cases where multiplicity selection and integration are missing (Figure ). This limitation referring to 1 H NMR spectra is due to the complexity of including overlapping signals which make a standardised and automated analysis hard to achieve.