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...

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

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

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

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,...

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...

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.

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

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...

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...

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

Knowledge derived from experimental/observational data.

A process consisting of three components: risk assessment, risk management and risk communication (Codex Alimentarius Commission, 1999).

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

A biological, chemical or physical agent in, or condition of, food with the potential to cause an adverse health effect (FAO/WHO, 2016).

Experimental/Observational data used for the generation of a 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...

The food product for which the model or data apply.

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...