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Evaluation data
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.-
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Cardinality
The cardinality value indicates if the metadata concept is mandatory or not, and the possible dimension. The value of “1” means that the metadata is mandatory. The value of...-
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Empirical 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...-
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Model generation process
Process aiming at generating a description of a system through mathematical concepts or software code.-
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Validated-fitted model
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...-
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FSK-ML (Food Safety Knowledge - Markup Language)
FSK-ML is a specification for knowledge exchange format that can be used to encode models in the domain of food safety risk assessment.-
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Modelling process
Processes that involve the model generation process and include the application of the generated model.-
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Dimension
Possible number of elements constituting a metadata concept. See Cardinality for more details.-
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Emerging Risk Knowledge Exchange Platform (ERKEP):
is a technical resource based on KNIME Server infrastructure hosted at BfR supporting the exchange of data analytics workflows for emerging risk identification. -
Process model
Model that describes how the concentrations of the hazard change along the different steps (modules) of the food production chain (potentially from farm to fork).-
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Parameter
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...-
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Modelling process
Processes that involve the model generation process and include the application of the generated model.-
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Transformation
A process by which the data is manipulated (i.e. data set is cleaned or rearranged) to fit the purpose of the model.-
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Curation
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...-
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Dimension
Possible number of elements constituting a metadata concept. See Cardinality for more details. -
Citizen science:
the general public engagement in scientific research activities when citizens actively contribute to science either with their intellectual effort or surrounding knowledge or... -
Validation procedure
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...-
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Decision-making
The action or process of making decisions based on scientific facts or results. In the context of risk management, decision-making considers the risk assessment results and...-
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QMRA model
In the context of the model classes defined in RAKIP, QMRA model is the combination of all other model classes (see Model classes definition) and data.-
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