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.

Procedure that aims to assess the performance of fitted models and to determine if they can be used to aid decision-making. The validation process might use several hundred of...

Initial statement on the specific objectives of a risk assessment.

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

Describes the conceptual design, components and structure of a model. For instance, the QMRA model structure usually follows the well-stabilised four steps: hazard...

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

The microorganisms and/or their toxins present in, or condition of, food with the potential to cause an adverse health effect (adapted from Hazard definition from FAO/WHO, 2016).

A combination of the process model and the consumption model that results in the exposure assessment.

Is the population or sub-population of interest when performing a risk assessment, for example: general population, pregnant or lactating women, seniors, infants.

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,...

Model for calculating a measure for assessing the health impact of a specific hazard in a population group: e.g. Disability-adjusted life years (DALYs) or cost per illness.

A process by a chart or other image is created as a visual representation of the transformed data.

The qualitative and/or quantitative estimation, including attendant uncertainties, of the probability of occurrence and severity of known or potential adverse health effects in...

A process by which the data is manipulated (i.e. data set is cleaned or rearranged) to fit the purpose of the model.