Data for Disaster Risk Management
The “Data for Disaster Risk Management” documentation describes how data supports effective disaster risk management by bringing together information on hazards, exposure, vulnerability, and disaster impacts to improve risk assessment, preparedness, response, recovery, and long-term resilience planning. It highlights the importance of collecting standardized, high-quality, and interoperable datasets from multiple sources, enabling governments and organizations to better understand risk patterns, inform evidence-based decision-making, monitor progress toward global frameworks such as the Sendai Framework for Disaster Risk Reduction, and strengthen coordination across sectors through open, accessible, and well-managed data systems.
Authors
- A. Da Silva Mano (ORCID: https://orcid.org/0000-0003-2864-7618)
Institutions
- University of Twente (NL)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-06-28
- DOI
- https://doi.org/10.5281/zenodo.20998304
- Primary Topic
- Disaster Management and Resilience
- Type
- article
- Field-Weighted Citation Impact
- 0.00