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<section begin=glossary />

Data are e.g. population data, mortality background data, biomonitoring data. Data are needed for defining and calculating variables but stem from outside the risk assessment process. Input for a variable derived by a causal linkage to another variable is not called data but is the result of the other variable. Data can be "raw" data or accumulated to different degrees including e.g. the mean and the standard deviation or a distribution.<section end=glossary />

Data are pieces of information that are freely structured (i.e., not according to the pyrkilo method). Usually they are nuggets, because they are permanent in nature.