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A number of challenges are usually faced following a disaster, including ineffective coordination between parties at both local and international levels, limited resources and financial constraints. These challenges have numerous complex factors, which lead to long response times and even longer recovery times, causing a great deal of tension, in addition to other cascading problems in the communities affected by the disaster. It is proposed to set up baseline data with integrated data repository for disaster response to accelerate the transition between response and recovery phases. This would enable the world to better understand the health, social, economic, environmental, and other problems that arise when we fail to invest adequately in combating natural hazards. Using different domain data could enhance management to deal with the emergency response process and enable a swift transition from the response to the recovery phase. This Policy Brief was produced by the CODATA Task Group on FAIR Data for Disaster Risk Research prior to the seventh session of the Global Platform (GP2022) will be organized by the UN Office for Disaster Risk Reduction (UNDRR) from 23 to 28 May 2022, in Bali, Indonesia. It was published alongside policy briefs from the International Science Council on the same occasion https://council.science/gp2022-diaster-risk-reduction/
FAIR data, Disaster Risk Reduction, ISC, International Science Council, CODATA, Disaster Risk Research, DRR, FAIR
FAIR data, Disaster Risk Reduction, ISC, International Science Council, CODATA, Disaster Risk Research, DRR, FAIR
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