Data

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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 fact sheet

The structure of a fact sheet for data is described here. see also biomarkers fact sheet as an example for an already existing fact sheet.

• Keywords
• SCOPE OF THE DATA
  • Type of data
  • Source
  • Definitions and comment
  • Exposure duration
• DATA APPLICATION
  • Population
  • Web site
  • Availability of scientific reports
  • Advantage
  • Disadvantage
• APPLICATION EXAMPLES
• REFERENCES

See also

• Data fact sheet of EFSA (European Food Safety Authority