Harnessing risk-informed data for disaster and climate resilience

Abstract

Disaster and climate risks result from a complex interaction between hazard, exposure, and vulnerability in a broad context defined by socioeconomic, political, and ecological factors. To better understand the risk and manage it more effectively, we need to collect, store, analyse, and use risk-informed data. We identified challenges and opportunities for harnessing risk-informed data for disaster and climate resilience. The framework is inspired by the FAIR (findable, accessible, interoperable and reusable) and CARE (collective, authority to control, responsibility and ethics) principles to discuss opportunities how data could be available to inform risk-informed decision-making in climate and disaster risk management. Looking ahead, data could be developed and integrated with societal needs and participation. The use of data for risk management necessitates a common definition of risk to ensure a comparable research and development process. The world is shifting from a “for-profit” to a “for-benefit” operating model, which needs a Fifth Industrial Revolution driven by and for data for the benefit of society.

Keywords

• Disaster risk reduction
• Climate change
• Data-driven
• Risk management
• FAIR data