@article{ref1,
title="Data schemas for multiple hazards, exposure and vulnerability",
journal="Disaster prevention and management",
year="2019",
author="Murnane, Richard J. and Allegri, Giovanni and Bushi, Alphonce and Dabbeek, Jamal and de Moel, Hans and Duncan, Melanie and Fraser, Stuart and Galasso, Carmine and Giovando, Cristiano and Henshaw, Paul and Horsburgh, Kevin and Huyck, Charles and Jenkins, Susanna and Johnson, Cassidy and Kamihanda, Godson and Kijazi, Justice and Kikwasi, Wilberforce and Kombe, Wilbard and Loughlin, Susan and Løvholt, Finn and Masanja, Alex and Mbongoni, Gabriel and Minas, Stelios and Msabi, Michael and Msechu, Maruvuko and Mtongori, Habiba and Nadim, Farrokh and O'Hara, Mhairi and Pagani, Marco and Phillips, Emma and Rossetto, Tiziana and Rudari, Roberto and Sangana, Peter and Silva, Vitor and Twigg, John and Uhinga, Guido and Verrucci, Enrica",
volume="28",
number="6",
pages="752-763",
abstract="PURPOSE Using risk-related data often require a significant amount of upfront work to collect, extract and transform data. In addition, the lack of a consistent data structure hinders the development of tools that can be used with more than one set of data. The purpose of this paper is to report on an effort to solve these problems through the development of extensible, internally consistent schemas for risk-related data. <br><br>DESIGN/METHODOLOGY/APPROACH The consortia coordinated their efforts so the hazard, exposure and vulnerability schemas are compatible. 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 and allow the scoring of vulnerability data for relevance and quality. <br><br>FINDINGS As a proof of concept, the schemas were populated with data for Tanzania and with exposure data for several other countries. Research limitations/implications The data schema and data exploration tool are open source and, if widely accepted, could become widely used by practitioners. Practical implications A single set of hazard, exposure and vulnerability schemas will not fit all purposes. Tools will be needed to transform the data into other formats. <br><br>ORIGINALITY/VALUE This paper describes extensible, internally consistent, multi-hazard, exposure and vulnerability schemas that can be used to store disaster risk-related data and a data exploration tool that promotes data discovery and use.<p /> <p>Language: en</p>",
language="en",
issn="0965-3562",
doi="10.1108/DPM-09-2019-0293",
url="http://dx.doi.org/10.1108/DPM-09-2019-0293"
}