Interrogating health-related public databases from a food toxicology perspective: Computational analysis of scoring data

► This study involves the comparative evaluation of a large array of health-related databases, using 18 test substances. ► We have applied various uni- and multi-variate data analysis methods, including cluster analysis, to process scoring data. ► A special index was devised to arrive at context-related rating of the databases. ► Cluster analysis revealed groups of databases with overall shared characteristics.