Recent research has ultimately shown that expanding analytical dimensions for multidimensional metabolite annotation (e.g. Rt, m/z, chiroptical data, etc.) offers a significant boost, enhancing the accuracy and coverage of metabolites. More specially, ion mobility (IM) MS has emerged as a powerful technology that allows for the metabolite measurement of collision cross-section values (CSS). Consequently, the CCS aids in isomer characterization by providing an additional separation dimension to mass, increasing the identification confidence. Similar to the four-dimensional untargeted metabolomic concept introduced by Cai et al. , including multidimensional data and/or metadata (i.e., chemical ontology, scoring strategies, etc.) would significantly benefit our assessment methodology and, consequently, the consistency of identifications.