Is founded on the relationship between observed data and approximate representations of the real systems that generated that data.

A parameterized model equation (Model equation + parameters value).

Online resource for RAKIP partners with a Graphical User Interface for browsing, searching, filtering and downloading FSKX-files. It allows sharing FSK-ML formatted data and...

The qualitative and/or quantitative evaluation of the likely intake of biological, chemical, and physical agents via food as well as exposures from other sources if relevant...

Model equation that has been fitted to Experimental/Observational data (training data) with the aim of obtaining a validated-fitted model.

Measurement values obtained in experimental or observational studies. Can be used in the fitting or validation procedure.

File format defined within the FSK-ML specifications supporting the exchange of risk assessment models.

The matrix for which the model or data applies. The term Matrix is inspired in the Standard Sample Description for Food and Feed ver. 2.0 (SSD) (EFSA, 2013) where the type of...

Knowledge on a system stored inside or obtained from a model, e.g. a mathematical algorithm, EM, PM and QMRA model, software code etc.

are measurable, quantifiable facts, which could be stored (see section 2)

The process of gathering data. Different types of data can be collected (microbial concentrations, daily consumption, etc.). The collected data should be fit for purpose,...

A function of the probability of an adverse health effect and the severity of that effect, consequential to a hazard in food (Codex Alimentarius Commission, 1999).

The qualitative and/or quantitative evaluation of the nature of the adverse health effects associated with biological, chemical and physical agents which may be present in food...

Knowledge on a system stored inside or obtained from a model, e.g. a mathematical algorithm, EM, PM and QMRA model, software code etc.

Classification of mathematical models relevant for microbial food safety such as QMRA model, dose-response model, process model, consumption model, exposure model, health metric...