Fostering Interoperability of Data for Disaster Resilience

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The authors identify a lack of interoperability between data, models, and governance as a primary barrier to integrating disaster risk management and climate adaptation. To overcome this, they propose a transdisciplinary knowledge co-production framework to enhance risk governance and a novel, open-source, federated data infrastructure designed to consolidate and connect diverse data sources and information products.

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  • A lack of interoperability across data, models, information, communication, and governance prevents the successful integration of climate adaptation and disaster risk management.
  • Addressing the impacts of climate change and extreme weather requires a transdisciplinary knowledge co-production approach to align disaster risk management with adaptation measures and improve risk governance.
  • The authors propose the implementation of an open-source, federated data infrastructure to enable stakeholders to connect and consolidate models, information products, and relevant data sources.

Cite the original document

APA
Stockholm Environment Institute (2025). Fostering Interoperability of Data for Disaster Resilience. https://www.sei.org/publications/fostering-interoperability-of-data-for-disaster-resilience/
Chicago
Stockholm Environment Institute. Fostering Interoperability of Data for Disaster Resilience. 2025. https://www.sei.org/publications/fostering-interoperability-of-data-for-disaster-resilience/.
Wikipedia
{{cite report |author=Stockholm Environment Institute |title=Fostering Interoperability of Data for Disaster Resilience |date=18 September 2025 |url=https://www.sei.org/publications/fostering-interoperability-of-data-for-disaster-resilience/ |access-date=17 August 2026 |via=Climate Insights Directory}}
BibTeX
@techreport{stockholmenvironmentinstitute2025fostering, author = {{Stockholm Environment Institute}}, title = {{Fostering Interoperability of Data for Disaster Resilience}}, institution = {Stockholm Environment Institute}, year = {2025}, month = sep, url = {https://www.sei.org/publications/fostering-interoperability-of-data-for-disaster-resilience/}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }

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