Harnessing risk-informed data for disaster and climate resilience
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-info...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-12-01
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| Series: | Progress in Disaster Science |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590061722000412 |
| _version_ | 1811178592507265024 |
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| author | Bapon Fakhruddin Jenty Kirsch-Wood Dev Niyogi Li Guoqing Virginia Murray Nina Frolova |
| author_facet | Bapon Fakhruddin Jenty Kirsch-Wood Dev Niyogi Li Guoqing Virginia Murray Nina Frolova |
| author_sort | Bapon Fakhruddin |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T06:22:07Z |
| format | Article |
| id | doaj.art-bc69ee60abd844c3a3731c6540ae4cb3 |
| institution | Directory Open Access Journal |
| issn | 2590-0617 |
| language | English |
| last_indexed | 2024-04-11T06:22:07Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Progress in Disaster Science |
| spelling | doaj.art-bc69ee60abd844c3a3731c6540ae4cb32022-12-22T04:40:33ZengElsevierProgress in Disaster Science2590-06172022-12-0116100254Harnessing risk-informed data for disaster and climate resilienceBapon Fakhruddin0Jenty Kirsch-Wood1Dev Niyogi2Li Guoqing3Virginia Murray4Nina Frolova5Tonkin + Taylor International, New Zealand; Chair, CODATA TG FAIR Data for DRR, France; Corresponding author at: Tonkin + Taylor International, New Zealand.United Nations Office for Disaster Risk Reduction (UNDRR), SwitzerlandThe University of Texas at Austin, USANational Earth Observation Data Center (NODA), China; Chair, CODATA TG FAIR Data for DRR, FranceUK Health Security Agency, UKInstitute of Environmental Geoscience, Russia; Chair, CODATA TG FAIR Data for DRR, FranceDisaster 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.http://www.sciencedirect.com/science/article/pii/S2590061722000412Disaster risk reductionClimate changeData-drivenRisk managementFAIR data |
| spellingShingle | Bapon Fakhruddin Jenty Kirsch-Wood Dev Niyogi Li Guoqing Virginia Murray Nina Frolova Harnessing risk-informed data for disaster and climate resilience Progress in Disaster Science Disaster risk reduction Climate change Data-driven Risk management FAIR data |
| title | Harnessing risk-informed data for disaster and climate resilience |
| title_full | Harnessing risk-informed data for disaster and climate resilience |
| title_fullStr | Harnessing risk-informed data for disaster and climate resilience |
| title_full_unstemmed | Harnessing risk-informed data for disaster and climate resilience |
| title_short | Harnessing risk-informed data for disaster and climate resilience |
| title_sort | harnessing risk informed data for disaster and climate resilience |
| topic | Disaster risk reduction Climate change Data-driven Risk management FAIR data |
| url | http://www.sciencedirect.com/science/article/pii/S2590061722000412 |
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