Bapon Fakhruddin and Li Guoqing, co-chairs
After four terms of study, the award winning FAIR Data for Disaster Risk Research (FAIR-DRR) has focused itself on addressing enabling technology (i.e. decision support system, rapid damage mapping, etc.), scientific questions, technical challenges, and best practices of disaster data standards and applications in risk assessment across disciplines, development partners and governments. FAIR-DRR also developed a data ecosystem by integrated other networks to work collaboratively (i.e. IRDR of UNDRR, GEO-DRR, NASA DRR working group, SDG, Disaster Statistic etc.) and applied data for cross-domain studies. These activities closely allied with the ISC’s Decadal Programme “Making data work for cross-domain grand challenges”.
FAIR-DRR is an increasingly important activity linking and ensuring coherence of major global milestones – the Sendai Framework for Disaster Risk Reduction (SFDRR), Sustainable Development Goal (SDG), Paris Agreement for Climate Change and the New Urban Agenda (NUA)-Habitat III.
The experiences of the Covid-19 pandemic in the past year have made all disciplines keenly aware that solutions to complex and difficult problems require data to be readily assessable and actionable by machines using big data in combination with the most advanced hardware and software technologies. Our technology is advancing rapidly, however, our data systems are not able to achieve the same milestones. The fundamental enabler of data-driven science is an ecosystem of resources that enable data to be FAIR (Findable, Accessible, Interoperable, and Re-usable) for humans and machines. This ecosystem must include effective, maximally automated stewardship of data, and effective terminologies, metadata specifications and partnerships.
Following these works the Fifth term of the FAIR-DRR task group proposed the following objectives for the 2022-2023 term.
- Volunteer Rapid Disaster Monitoring and Mapping in collaboration with Earth-GEO
- Enhance interdisciplinary data integration using FAIR-DRR’s sequence, partnership with other networks and documenting good practices.
- Engage with users and sectors for greater alignment and consistency of hazard definitions, standardisation of data loss quantification and risk assessment
- Demonstrate transdisciplinary approaches linking climate scientists, engineers and sectoral professionals to identify future emerging and complex research using data
- Capacity building using monthly newsletters, policy papers, conference, webinars and white papers.
In this video, Li Guoqing and Bapon Fakhruddin lay out the key activities and achievements of the Task Group in the past terms, detail their objectives for the next two years and invite participation in FAIR DRR.