For an evaluation of the implemented processes, 110 exemplarily taken datasets published in the Chemotion repository by the scientists who synthesised the compounds were curated according to the processes described in the chapter implementation. The outcome of this half-automated curation was then evaluated by human curators. All exemplarily used datasets consist of spectroscopic data of organic molecules, for which 1 H NMR, C NMR, mass and IR data are available in a machine-readable format. Datasets with obvious errors such as missing signals that are already indicated by the data provider or datasets belonging to structures that cannot be evaluated due to the absence of prediction tools, such as organometallic compounds, were excluded from the chosen exemplarily dataset (see SI Chapter 7 (3) for further details). After the preparative steps to be done by the curator (see SI part 6.1), a first scoring can be obtained, giving information on the suitability of the model. Scores 10 and 9 can be reached, if all data are consistent and plausible (within the accepted tolerance range, e.g. for NMR spectroscopy shifts). Score 10 can be gained if there is no difference in the data with respect to the plausibility and consistency checks, score 9 can be reached for the same with the exception of IR data mismatch. In every case where the data score did not reach 9 or 10 immediately, the curator examined the 1 H NMR and C NMR data in detail to determine if the data's variations from the simulation were acceptable or if there were other justifications for the correction of the evaluation result by the human curator.