Scenarios can be constructed to predict the range of possible exposures. The scenarios might reflect effects of processing, such as hygienic design, cleaning and disinfection,...

Data that defines and describes other data (ISO, 2004).

The interactive exchange of information and opinions concerning risk among risk assessors, risk managers, consumers and other interested parties (Codex Alimentarius Commission,...

The process of weighing policy alternatives in the light of the results of risk assessment and, if required, selecting and implementing appropriate control options, including...

A curation process for models aims to classify models according to certain quality criteria. These quality criteria must be defined. Depending on the classification, the end...

The complete set of metadata concepts generated as part of the RAKIP project that allows annotating with sufficient detail any type of model or data in the QMRA or PM modelling...

Experimental/observational data that is used to evaluate the performance of the fitted model. This data should have not been used previously for generation of the fitted model.

Empirical models describe a set of data in a convenient mathematical relationship without considering any underlying phenomena (Ross and Dalgaard 2004). Examples of empirical...

Process aiming at generating a description of a system through mathematical concepts or software code.

Model that has been fitted and successfully validated on independent experimental/observational data (evaluation data). A validated-fitted model can be used to make predictions...

FSK-ML is a specification for knowledge exchange format that can be used to encode models in the domain of food safety risk assessment.

The term parameter is used in a number of ways. In the context of RAKIP project, examples of parameter are: the prevalence and concentration of foodborne pathogens on food...

Processes that involve the model generation process and include the application of the generated model.

The is the best model ever!