Sendai Framework Data Readiness Review 2017 Plenary Monitoring

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UNISDR initiated the Sendai Framework Data Readiness Review in February 2017 to assess national disaster-related data availability for monitoring global targets. 87 countries contributed to the review, identifying critical data gaps to be addressed by March 2019 to enable reporting against the Sendai Framework.

  • Sendai Framework
  • Data Readiness Review
  • UNISDR
  • Global Targets
  • Disaster Data

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  1. The Sendai Framework Data Readiness Review 2017 Plenary Sendai Framework Monitoring 26 May, 2017

  2. Sendai Framework Data Readiness Review 2017 UNISDR rolled out the Sendai Framework Data Readiness Review in February 2017 to assess: the availability of national disaster-related data to monitor and report on the indicators measuring the global targets of the Sendai Framework disaster-related data gaps and the type of resources required to fill data gaps identified countries current ability to establish baselines for measuring the global targets of the Sendai Framework

  3. 87 countries contributed to the Sendai Framework Data Readiness Review 2017

  4. National data availability by global Target of the Sendai Framework

  5. Type of resources required to fill data gaps Resource needs were categorized in the three main categories used to measure international cooperation: a) financial resources, b) technology transfer, and c) capacity. For most indicators, > 90% of countries indicated the need for financial resources to cover data gaps. Capacity and technology transfer were accorded greater importance in respect of some Targets notably E and G.

  6. Summary of findings of the Sendai Framework Data Readiness Review 2017 Data availability gaps to be addressed by March 2019, for countries to be able to report against the Sendai Framework global Targets as planned. Critical gaps exist in specific areas of disaster loss, and data for all areas of international cooperation. A comprehensive approach to data enhancement may be required, to address aspects of: data availability, including developing new datasets data accessibility the application / use of data, and data quality.

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