Overview of standard data model
Following key concepts, the Risk Data schema includes four components:
- Hazard: main hazard type, specific process, trigger of the hazard, occurrence frequency of event, intensity unit to measure the process and analytical method.
- Exposure: asset category, occupancy and specific taxonomy, cost type and value.
- Vulnerability: model that links hazard intensity and exposure classification to measure of impact over the total exposed value.
- Loss: modelled damage and losses produced in a risk assessment as a function of hazard, exposure and vulnerability components.
The diagram below shows the core relationships between schema components, rather than listing all of their attributes.
Dataset general attributes
In addition to schema-specific attributes, each dataset is identified by a list of attributes based on DublinCore metadata standard.
|*||Component||Schema to be used||
|*||Source model||Name of source model||Text|
|*||Release date||Model release date||Date|
|Project name||Project under which data has been produced||Text|
|Purpose||Purpose for what the data has been produced||Text|
|Notes||Additional details about the dataset||Text|
|Bibliography||Author, titles and publication year of documents containing relevant information on the dataset||Authors (Year) - Title; URL|
|Version||Version of the dataset||Number|
|*||Geo coverage||ISO code(s) of countries covered||ISOa3 country code|
|*||License code||Type of license||Licensing options|
Other attributes are specific to individual resources, covering level of aggregation, resolution and format.
|Reference coordinate system||CRS EPSG|
|Horizontal resolution||n unit|