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Data against natural disasters : establishing effective systems for relief, recovery, and reconstruction (English)

Data against natural disasters makes a valuable contribution to our understanding of the conditions and actions necessary for establishing effective disaster management information systems. The volume's introductory chapters outline the data needs that arise at different stages in disaster response and explore the humanitarian community's efforts to discover more effective mechanisms. These overviews are preceded by an introduction that summarizes some of the key lessons one may derive from the six country (Guatemala, Haiti, Indonesia, Mozambique, Pakistan, and Sri Lanka) case studies that constitute the rest of the volume. These six case studies examine country-level efforts to establish information management systems to coordinate disaster response. Not all of the attempts proved successful, but they included important technical and institutional innovations that are worthy of study. Collectively, they yield important lessons both for forward-thinking countries seeking ex ante disaster preparedness and for humanitarian responders hoping to implement good systems quickly after calamities have struck.

Details

  • Author

    Amin, Samia; Goldstein, Markus;

  • Document Date

    2008/08/12

  • Document Type

    Publication

  • Report Number

    44983

  • Volume No

    1

  • Total Volume(s)

    1

  • Country

    World,

  • Region

    The World Region,

  • Disclosure Date

    2008/08/18

  • Disclosure Status

    Disclosed

  • Doc Name

    Data against natural disasters : establishing effective systems for relief, recovery, and reconstruction

  • Keywords

    survey results;information storage and retrieval system;Damage and Loss Assessment;monitoring poverty reduction;vulnerability to natural disasters;disaster information management;humanitarian supply;inventory management system;information management systems;logistics support system;response to disaster;world food programme;point of entry;emergency relief operations;flood early warning;transmission of data;doctor of medicine;emergency operations center;allocation of resource;service and infrastructure;indicators of progress;perception of corruption;assessment of need;civil society initiative;health system management;infrastructure and services;aspect of disaster;civil society actor;flow of information;effective information sharing;improvements in efficiency;adoption of standard;terms of competence;vulnerability to disaster;country case study;extreme weather event;Junior Professional Associate;humanitarian supply management;information management solution;labor market performance;development of information;Political Economy Analysis;bachelor of science;Disaster Risk Reduction;Rule of Law;sense of ownership;humanitarian agency;baseline data;effective systems;logistic support;system design;operational procedure;non-governmental organization;natural hazard;system data;humanitarian community;disaster preparedness;geographic information;humanitarian assistance;baseline information;humanitarian response;data provider;aid effectiveness;institutional context;emergency situation;data quality;national emergency;Disaster Management;community medicine;relief supply;information collection;institutional innovation;government regulation;communications infrastructure;support structure;primary value;capacity constraint;physical inspection;central coordinating;border crossing;relief effort;distribution center;communication media;organizational structure;remote area;scarce resource;financial inflow;essential services;governmental agency;national institutional;funding gap;Education Policy;open access;accurate identification;cleanup cost;missing person;bulletin board;data gathering;disaster recovery;weather disaster;perverse incentives;advance agreement;documentation systems;drought-resistant crops;software platform;census data;emergency procedure;institutional question;private initiative;fund allocations;relief agency;voluntary basis;vulnerable child;community access;Legal responsibility;staff turnover;software program;data processing;institutional dimension;international donor;project datum;accepted rule;data capture;communications system;effective demand;speculative investment;international partners;incentive problem;disaster planning;stakeholder participation;legal requirement;disaster reconstruction;internal control;guaranteed access;rural transportation infrastructure;affected communities;long-term sustainability;contingency plan;institutional information;detailed statistics;vulnerable population;National Institutions;national mechanism;institutional culture;subsequent section;regional initiative;storage facility;internal management;emergency conditions;poor community;Aid Delivery;proprietary information;organizational culture;cluster approach;common standards;common problems;earthquake research;information challenge;collected information;Displaced Population;public body;supply use;humanitarian crisis;data reporting;gap analysis;information exchange;regular investment;monitoring activity;rural community;short supply;damage assessment;reconstruction assistance;insurance regulator;disaster reduction;currency crisis;household welfare;scholarly articles;work experience;emergency response;humanitarian affair;care international;Social Sciences;Poverty Measurement;public policy;nation building;nuclear nonproliferation;fragile states;cambridge university;bilateral aid;international community;medical doctor;active participation;funding surplus;Land tenure;man-made disasters;fighting poverty;data needs;reconstruction fund;political science

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Citation

Amin, Samia; Goldstein, Markus;

Data against natural disasters : establishing effective systems for relief, recovery, and reconstruction (English). Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/285801468314983148/Data-against-natural-disasters-establishing-effective-systems-for-relief-recovery-and-reconstruction