The expected outcome of this workshop is enhanced disaster risk understanding in the participating countries and states. Participants will be able to fully understand the benefits of systematically collecting disaster information and reinforcing capacities to develop and maintain disaster loss databases (DLD); and report on Sendai targets.
In concrete, the specific objectives of this workshop are:
Understanding risk is the first priority for action stated in the Sendai Framework for Disaster Risk Reduction 2015-2030. Understanding the spatial and temporal distribution of disaster losses produced by different hazards is a first and crucial step to develop actionable risk information and knowledge.
National disaster loss databases enable countries to set and monitor their own national targets in disaster risk reduction and will help generate information to design and implement national disaster risk reduction strategies and plans – as required to achieve target E[1] of the Sendai Framework.
The Sendai Framework calls for countries to enhance their risk knowledge by promoting the collection, analysis, management and use of relevant data and practical information and ensuring their dissemination in formats accessible and relevant to different categories of users.
At the regional level, in regards to the Priority 1 of the Sendai Framework, the Action Plan 2018-2020 of the Asia Regional Plan for Implementation of the Sendai Framework highlighted the need to “build capacity of national and local governments and actors to collect and record disaster risk, displacement, damage and loss data, including from at-risk communities living in geographically remote areas, with consistent levels of disaggregation for sex, age and disability”.
In adopting the Sendai Framework, Member States committed to the systematic and cyclical measurement, monitoring and reporting of progress in achieving the outcome and goals of the framework. Effective monitoring of progress in achieving the global targets of the Sendai Framework and disaster-related SDGs depends on the availability, accessibility, quality and applicability of multiple datasets.
UNISDR has developed technical guidance for Sendai indicators reporting (UNISDR, 2017) and launched in 2018 a global monitoring process and online tool called the Sendai Framework Monitor aimed at collecting figures for the agreed global indicators from official national sources.
The online Sendai Framework Monitoring (SFM) system will allow Member States to assess their progress in the implementation of the Sendai Framework against the “Global targets and Indicators” endorsed by the General Assembly, as well as against “Custom Indicators” chosen to reflect nationally determined indicators.
Desinventar is a computer-based information management system that helps with the “systematic collection, documentation and analysis of data about losses caused by disasters associated to natural hazards”. The DesInventar system supports historical data collection over longer periods by using a standardized disaster data registration template. The software also provides data analysis support facilitated by the integrated DesInventar software package (database query, statistics, reporting and mapping capabilities).
In order to support countries in complying with their reporting commitments under the Sendai Monitoring Framework, a new version of Desinventar Sendai was launched by UNISDR. This new version has embedded options to export data to the Sendai Framework monitoring system and allows for finer data disaggregation, customization and easier definition and use of metadata required for Sendai Framework monitoring.
standardized disaster data registration template. The software also provides data analysis support facilitated by the integrated DesInventar software package (database query, statistics, reporting and mapping capabilities).
In order to support countries in complying with their reporting commitments under the Sendai Monitoring Framework, a new version of Desinventar Sendai was launched by UNISDR. This new version has embedded options to export data to the Sendai Framework monitoring system and allows for finer data disaggregation, customization and easier definition and use of metadata required for Sendai Framework monitoring.