Difference between revisions of "Data"
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(data fact sheet structure copied from email from Celine 3.1.2008) |
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[[Category:Glossary term]]<section begin=glossary /> | [[Category:Glossary term]]<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 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. | ||
| + | |||
| + | * 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 | ||
Revision as of 13:03, 9 May 2008
<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 fact sheet
The structure of a fact sheet for data is described here.
- 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
