The modular design distinguishes between three types of modules: primary entity modules, data modules, and calculation modules. For an overview see Modules.
The primary entity modules are data modules determining the scope of the assessments in the toolbox. That is, in each assessment, the scope specifies the foods, substances, effects, populations, responses, and/or test systems that are of interest.
The data modules give summaries of the available data which depend on (some of) the primary entities. For example consumptions data.
The calculation modules perform calculations on input data to produce data on another type, as specified by the module name. E.g. the dietary-exposures calculation module calculates dietary exposures from consumption and occurrence data. Some calculation modules can also act as a data module, in which case the data are directly specified rather than calculated. Examples are, the relative potency factors module: relative potency factors can be supplied as such (Data) or computed based on hazard characterizations (Compute); the single value consumptions module: Large Portions can be supplied as such (Data) or computed based on consumption distribution data of a population (Compute).
Figure 1 Relative potency factors supplied as data or computed based on hazard characterizations.
