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Both the OpenDRI Index key datasets and the RDL Standard can be helpful to assess and categorize available risk data when for instance evaluating a given data and its content or when publishing the data on a data portal.
The objective of this task is to create a document, in the form of a spreadsheet, to support the evaluation and description of risk datasets using the OpenDRI Index and RDL Standard data models.
While the OpenDRI Index is useful to provide a list of key datasets, the RDL Standard can be used as a way to better determine specific content and fields.
Example :
From OpenDRI Index :
Key dataset : Flood hazard maps
Category : Hazard
Description : Flood hazard maps at any available resolution for benchmarking of the flood model. A flood hazard map describes the geographical areas that are prone to flooding for a given return period (typically between 2 and 1000 years). Additional value is provided by maps that indicate water depth and flood duration.
From RDLS :
The schema specifies data attributes.
For instance:
Attribute : Hazard type
Description : Main hazard type from list of options
Type : Coastal Flood, Convective Storm, etc.
Here is an example with several attributes for an hazard dataset
Hazard type Flood
Analysis type Probabilistic
Calculation method Simulated
Geographic area Kabul
Frequency type Return Period
Occurrence probability 100 years
Occurence time (start) 1958
Occurence time (end) 2001
Occurence time (span) 44 years
Hazard process River flood
Unit of measure Water depth (m)
The text was updated successfully, but these errors were encountered:
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OpenDRI Index serves to evaluate open risk data availability and gaps for a given country. The Index is organized in key datasets arranged in key categories. The full list of key datasets and their categories and descriptions are available here https://github.com/GFDRR/open-risk-data-dashboard/blob/master/backend/contents/key_datasets/resilience-index-datasets-list-v10%20-%20Datasets.csv
The RDL Standard serves to support the standardization of risk data content and metadata. The data model of the standard is described here: https://docs.riskdatalibrary.org/datamodel.html
Both the OpenDRI Index key datasets and the RDL Standard can be helpful to assess and categorize available risk data when for instance evaluating a given data and its content or when publishing the data on a data portal.
The objective of this task is to create a document, in the form of a spreadsheet, to support the evaluation and description of risk datasets using the OpenDRI Index and RDL Standard data models.
While the OpenDRI Index is useful to provide a list of key datasets, the RDL Standard can be used as a way to better determine specific content and fields.
Example :
From OpenDRI Index :
Key dataset :
Flood hazard maps
Category :
Hazard
Description :
Flood hazard maps at any available resolution for benchmarking of the flood model. A flood hazard map describes the geographical areas that are prone to flooding for a given return period (typically between 2 and 1000 years). Additional value is provided by maps that indicate water depth and flood duration.
From RDLS :
The schema specifies data attributes.
For instance:
Attribute :
Hazard type
Description :
Main hazard type from list of options
Type :
Coastal Flood, Convective Storm, etc.
Here is an example with several attributes for an hazard dataset
Hazard type Flood
Analysis type Probabilistic
Calculation method Simulated
Geographic area Kabul
Frequency type Return Period
Occurrence probability 100 years
Occurence time (start) 1958
Occurence time (end) 2001
Occurence time (span) 44 years
Hazard process River flood
Unit of measure Water depth (m)
The text was updated successfully, but these errors were encountered: