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Fostering Interoperability of Data for Disaster Resilience

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This perspective paper argues that a lack of interoperability across data, models, communication, and governance hinders the integration of disaster risk management and climate adaptation, proposing a transdisciplinary knowledge co-production approach and a federated data infrastructure to address these barriers.

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  • The authors identify a lack of interoperability between governance, information and communication, and data and models as a significant obstacle to the successful integration of climate adaptation and disaster risk management.
  • To overcome challenges related to climate change and extreme weather events, the authors propose a transdisciplinary knowledge co-production approach designed to promote interoperability between climate change adaptation and disaster risk management.
  • The paper introduces a framework to improve risk governance through knowledge co-production and suggests the use of a novel, open-source, federated data infrastructure to connect and consolidate information products, models, and data sources for stakeholders.

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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