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  3. Extensible data schemas for multiple hazards, exposure and vulnerability data

Extensible data schemas for multiple hazards, exposure and vulnerability data

Documents and publications
Working papers
Author(s)
Murnane, Richard et al.
Source
United Nations Office for Disaster Risk Reduction
Emerald Group Publishing Limited
Publication Year
2019
Number of pages
20 p.

The data required for assessing disaster risk can generally be divided into three categories: hazard, exposure and vulnerability. To date there is no widely accepted approach for storing and sharing such risk-related data using a common data structure. As a result, using risk-related data often requires a significant amount of upfront work to collect, extract and transform data before it can be used for purposes such as a risk assessment. In addition, the lack of a consistent data structure hinders the development of tools that can be used for more than one set of data. In practice, this situation introduces a significant amount of friction in efforts to quantify and manage disaster risk.

This paper reports on an effort by three consortia to develop extensible, internally consistent schemas for hazard, exposure and vulnerability data. The consortia coordinated their efforts so the three schemas are compatible. For example, the intensity measure types used to define the hazard datasets are compatible with the intensity measures used by the vulnerability models. Similarly, the asset attributes used in the exposure data taxonomy are compatible with the asset attributes used for the vulnerability data. Hazard data can be provided as either event footprints or stochastic catalogs. Exposure classes include buildings, infrastructure, agriculture, livestock, forestry and socio-economic data. The vulnerability component includes fragility and vulnerability functions and indicators for physical and social vulnerability. The schemas also provide the ability to define uncertainties associated with the hazard data and allows the scoring of vulnerability data for relevance and quality. As a proof of concept, the schemas were populated with data covering the three components for Tanzania and with additional exposure data for several other countries. 

This paper is a contribution to the 2019 edition of the Global Assessment Report on Disaster Risk Reduction (GAR 2019).

To cite this paper: 

Murnane, R. et al. Extensible data schemas for multiple hazards, exposure and vulnerability data. Contributing Paper to GAR 2019

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Related information
Attachments
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Global assessment report on disaster risk reduction 2019
Special Issue: When data helps policy to address systemic risk
Related links
Natural hazard data: A practical guide
Measuring the state of global open data for disasters and climate change adaptation
More about open data for disaster risk reduction
Checklist: 10 guiding principles for effective use of risk data
‘Risk data hub’ to enhance EU resilience to climate hazards
Tanzania: Using community mapping for flood modelling
More about understanding disaster risk
Keywords
Themes
Information Management
Risk Identification & Assessment
Country & Region
Tanzania, United Rep of

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