Understanding the Sendai Framework’s Role in Disaster Risk Data Collection

When disasters strike, accurate data can mean the difference between effective response and chaos. The Sendai Framework for Disaster Risk Reduction 2015-2030 recognizes this fundamental truth by placing critical data at the heart of global disaster risk reduction efforts. Adopted by UN member states in March 2015, this framework represents a global commitment to reduce disaster losses through evidence-based action.

What is the Sendai Framework? 🔗

The Sendai Framework is a 15-year international agreement designed to substantially reduce disaster risk and losses in lives, livelihoods, and health. It outlines seven global targets and four priorities for action, including understanding disaster risk, strengthening disaster risk governance, investing in disaster reduction for resilience, and enhancing disaster preparedness.

The framework aims to substantially reduce global disaster mortality by 2030, targeting lower average per 100,000 global mortality rates in the decade 2020-2030 compared to 2005-2015. Additional targets focus on reducing the number of affected people, decreasing direct economic losses related to GDP, and protecting critical infrastructure including health and educational facilities.

Why critical data matters for disaster risk reduction 🔗

Reliable and interoperable disaster data serves as the foundation for evidence-based disaster risk reduction policies. Without accurate information on disaster impacts, losses, and patterns, governments cannot make informed decisions about resource allocation, risk mitigation strategies, or recovery planning.

The Sendai Framework emphasizes the importance of systematic disaster loss databases that capture spatially disaggregated data. This detailed information helps countries track progress toward global targets, identify vulnerable areas, and develop targeted interventions. Data collection must go beyond mortality figures to include economic losses, infrastructure damage, and disruptions to essential services.

The role of standardized data collection 🔗

Standardized data collection allows for meaningful comparison across regions and time periods. When countries use consistent methodologies and indicators, they can identify trends, share best practices, and learn from each other’s experiences. This comparative analysis strengthens the global disaster risk reduction community’s ability to respond to emerging threats.

Building resilience through traditional crops: Case studies from Zimbabwe and India 🔗

Countries facing recurring climate-related disasters are increasingly turning to climate-resilient agricultural practices that align with Sendai Framework objectives. Two compelling examples demonstrate how promoting drought-resistant traditional crops can enhance community resilience.

Zimbabwe: Traditional grains for disaster resilience 🔗

Zimbabwe faces frequent droughts that have severely impacted food security. The 2015-2016 drought caused massive crop failure, leaving about 7.5 million people needing food aid, while the 2018-2019 drought reduced crop production by 50 percent and left 5.1 million people requiring food assistance.

In response, Zimbabwe has promoted traditional grains like sorghum and finger millet through various initiatives. These crops require less water than conventional cereals and demonstrate greater resilience to drought conditions. By diversifying agricultural production to include these climate-adapted crops, communities reduce their vulnerability to climate variability.

India: Millets promotion for climate resilience 🔗

India has emerged as a global leader in promoting millets as climate-resilient crops. The country declared 2018 as the National Year of Millets and successfully proposed that the United Nations declare 2023 as the International Year of Millets.

Millets such as sorghum, pearl millet, and finger millet require less than 30 percent of the rainfall needed for rice cultivation while offering 30 to 300 percent more nutritional content. India’s comprehensive approach includes research into improved cultivars, minimum support prices for farmers, public procurement programs, and integration into nutrition schemes.

States like Odisha launched the Odisha Millets Mission to promote millets in tribal areas, revitalizing traditional farming practices and increasing millet cultivation. These initiatives demonstrate how returning to traditional, climate-adapted crops can simultaneously address disaster risk reduction, food security, and nutritional goals outlined in the Sendai Framework.

DesInventar: A critical tool for disaster data management 🔗

DesInventar Sendai represents a crucial technological solution for implementing the Sendai Framework’s data requirements. This open-source software system enables countries to systematically collect, document, and analyze disaster loss data aligned with Sendai Framework monitoring requirements.

How DesInventar supports Sendai Framework targets 🔗

The system implements all indicators and data requirements for monitoring Targets A through D of the Sendai Framework, which correspond to Sustainable Development Goals indicators from Goals 1, 11, and 13. DesInventar Sendai allows countries to create and maintain fully compliant loss databases that capture spatially disaggregated information at multiple geographic levels.

More than 90 countries worldwide have implemented DesInventar Sendai, developing sustainable disaster information management systems. The system enables analysis of disaster trends and impacts across sectoral and socio-economic dimensions, supporting dialogue on risk management between stakeholders from local to regional levels.

Key features and applications 🔗

DesInventar Sendai offers several features that make it valuable for disaster risk analysis. The software permits registration of disaster events at specific geographic units, allowing for detailed spatial analysis. Users can disaggregate data by age, sex, disability, and income for human losses, providing insights into how disasters affect different population groups.

The system also supports metadata management, enabling countries to define and track indicators for critical infrastructure, basic services, and agricultural assets. This flexibility allows nations to customize the tool according to their specific disaster risk reduction priorities while maintaining compatibility with global reporting standards.

From data to action: Integrating evidence into policy 🔗

The Sendai Framework’s emphasis on critical data transforms how governments approach disaster risk reduction. Rather than reactive emergency response, countries can use comprehensive data to identify patterns, predict vulnerabilities, and invest in prevention.

Zimbabwe’s experiences with drought demonstrate how disaster data reveals the need for agricultural diversification. India’s millet promotion shows how systematic data collection on crop performance under climate stress can inform national food security policies. Both examples illustrate the Sendai Framework principle that effective disaster risk reduction requires understanding local contexts through reliable data.

As climate change intensifies disaster risks globally, the need for robust data collection systems becomes more urgent. Tools like DesInventar Sendai enable countries to track progress, share knowledge, and make evidence-based decisions that protect lives and livelihoods. The framework’s success depends on continued commitment to collecting, analyzing, and acting on critical disaster data.

What do you think? How can your community better utilize disaster data to build resilience? What traditional practices or crops in your region could contribute to climate adaptation strategies?

References

1. https://www.undrr.org/publication/sendai-framework-disaster-risk-reduction-2015-2030
2. https://sustainabledevelopment.un.org/frameworks/sendaiframework
3. https://www.preventionweb.net/sendai-framework/sendai-framework-at-a-glance
4. https://www.undrr.org/implementing-sendai-framework/what-sendai-framework
5. https://www.sciencedirect.com/science/article/abs/pii/S0305750X23000141
6. https://jurnal.itscience.org/index.php/governors/article/view/6412
7. https://reliefweb.int/report/india/millet-menu-wfp-and-niti-aayog-join-hands-bolster-climate-resilience-and-food-security
8. https://www.orfonline.org/expert-speak/millets-for-climate-resilience-and-food-security-in-india
9. https://www.sciencedirect.com/science/article/pii/S2667278224000488
10. https://www.desinventar.net/whatisDISendai.html
11. https://uzbekistan.un.org/en/106309-national-online-workshop-national-disaster-loss-database-implementation-uzbekistan