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Improved Risk information to support sound policy/decision making processes – The UNDP’s Global Risk Identification Programme, GRIP’s experience
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Improved Risk information to support sound policy/decision making processes – The UNDP’s Global Risk Identification Programme, GRIP’s experience

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  • The hospital dataset is used for the first three Objectives
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Improved Risk information to support sound policy/decision making processes – The UNDP’s Global Risk Identification Programme, GRIP’s experience Improved Risk information to support sound policy/decision making processes – The UNDP’s Global Risk Identification Programme, GRIP’s experience Presentation Transcript

  • Improved Risk Information to support sound policy/decision making processes – The UNDP/GRIP experienceRegina BelowCentre for Research on the Epidemiology of Disasters – CREDUniversité Catholique de Louvain, Brussels, Belgiumwww.emdat.be
  • WHAT IS EM-DAT?• Emergency Events Database, created 1988• Project funded by OFDA/USAID, USA• Occurrence and impacts of over 19,000 natural (62%) and technological disasters (38%) from 1900 to present• Objective: Provide evidence-base to humanitarian and development actors at national and international levels
  • EMDAT CREDibility• Over 20 years experience in data collection and management• Consistent methodology• Rules and definition• Validation methods and tools• Transparency and automatization (date entry and ouputs)• Comparability over time and space
  • STRENGHTS OF EM-DAT?• Unique free accessible database• Acts as a reference point for global analysis of disaster occurrence and impact• Unique basis for policy paper on disaster reduction and risks• International recognition and CREDibility• Capacity to provide methods and guidelines
  • WEAKNESSES OF EM-DAT?• Global database• Limited potential for analysis in terms of disaster occurrence and impact on smaller, intra-country spatial scales• Inappropriate use of data due to the public aspects of EM-DAT
  • What is the challenge? Overcome the limitations induced by lack of clear standardized collection methodologies and definitionsInconsistencies, data gaps, poor inter-operability, etc. … Confusion in evaluating disaster situation and obstacles for disaster prevention and preparedness
  • Methodological IssuesWhat has improved? - Information systems in the last 30 years - Availability of statistical data Better Quality of DataWhat is still lacking? -No systematic and standardized data collection for historical data -Standards and definitions
  • EVIDENCES:• Disaster Data (human and economic impact) is critical for preparedness and prevention planning• Quality of Disaster Databases can only be as good as the reporting systems which feed them
  • CRITERIA OF SUCCESS:• Clear and limited scope of disaster data : indicators, variables and entry criteria• Ownership and responsability : ensure systematic update and maintenance• Scientifically sound methodologies and definitions
  • CRED PARTNERSHIPS WITH GRIP/UNDP1. Regional Worshops on Building Risk Knowledge2. Common accord CRED/MünichRe - Disaster classification and terminology3. Creation and maintenance of a disaster data portal4. Strengthening the quality, reliability and sustainability of national and regional disaster database5. Review of human and economic impact indicator definitions
  • 1. Regional Worshops on Building Risk Knowledge (2006-07)• Analytical review of selected data set on natural disasters and impacts: Identify strenghts and weaknesses of disaster loss databases• Disaster Database expertise• Training
  • Common accord CRED/MünichRe - Disaster classification and terminology (2008-09)Identification of problems: - Disaster definition, typology and classification - Differences and lack of standardization of the terminologyOutputs: Development of a standardized international classification of disasters and terminologyConclusion/Recommendation: - Serve the international community, users and developers of databases to have a better understanding of disaster data - Underligne the importance to develop the capacity of information exchange, integration and comparability between disaster databases
  • Creation and maintenance of a disaster data portal (2007-09)- Compile and update the list of international, national and sub-national disaster loss data collection initiatives- Classify and provide a short summary for these disaster loss data initiatives- Provide online access to the disaster data compilation initiatives- Provide centralized referral services to researchers and other persons or organizations interested in the compilation or analysis of disaster data- www.grip.org.web
  • Strengthening the quality, reliability and sustainability of national and regional disaster database (2009-10)Objectives: - Identify disaster databases in South and Southeast Asia - Develop a quality assessment matrix and disaster data audit methodology - Perform database audits for selected disaster databases (Philippines, Bangladesh, Vietnam, Nepal, Indonesia and Sri Lanka) - Provide technical assistance to strengthen disaster databases - Prepare guidelines for the development of disaster databases
  • Review of human and economic impact indicator definitions (2011-13)Goals:- Establish a common standard hazard terminology, definition and classification + a common standard for human and economic loss characterization- Develop complete guidelines to ensure the inter-operability, compatibility and quality control of disaster loss databases (for use in global and national databases).- Field tests and implementation of the guidelines developed in selected countries. Will ensure the interoperability, compatibility and quality control of disaster loss databases. As a result, the selected national disaster databases will be horizontally compatible among themselves and vertically compatible with global databases (i.e. EM-DAT, MünichRe, NatCatSERVICE). Being compatible, those databases will be able to be integrated and will be able to reproduce the information contained in global disaster databases.
  • EXPECTATIONS- CRED expertise and experience is reinforced through partnerships- Outputs can be promoted and disseminated through GRIP- CRED: Limitations to influence the national policy- UNDP has the mandate to lead DRM at country level
  • Thank you … Regina Below (CRED)E-mail: regina.below@uclouvain.be www.emdat.be