This report provides recommendations to Disaster Risk Reduction (DRR) practitioners for increasing FAIRness in data used for all phases of Disaster Risk Reduction. These recommendations are formed based on literature reviews; our first deliverable, which provided a detailed assessment of FAIRness of data for two country case studies; our second deliverable on the state of data management and vocabularies in DRR; and from our own opinions as DRR researchers.
There is much to do to improve the FAIRness of DRR data, but we suggest that the first action is to improve the accuracy and interoperability of international disaster databases. Data on historical events are fundamental to our understanding of the future impact of disasters and our ability to mitigate and recover from them. Ensuring the accuracy of disaster databases is a fundamental step toward building safer, more resilient communities and nations.
The full report is available on Zenodo.
