The CODATA task group FAIR Data for Disaster Risk Research (FAIR-DRR) is an increasingly important activity linking and ensuring coherence of the UN landmark agreements of 2015-2016, namely the Sendai Framework for Disaster Risk Reduction (SFDRR), the Sustainable Development Goals (SDG), the Paris Agreement for Climate Change and the New Urban Agenda (NUA)-Habitat III.
Although large amounts of data exist today, they are typically dispersed geographically, owned by various entities including government agencies, research centres, community groups and, sometimes, individuals around the world, potentially lacking standards, interoperability, and accessibility, making them difficult to access and utilise for research, assessment and to aid policy decisions. There can be significant delays in the publication of available data and, despite improvements in data integration, significant data silos remain, forming barriers to the use of the data. Therefore, there need to be clear processes in place for ensuring that data are accessible and available following the FAIR (Findable, Accessible, Interoperable, and Re-usable) principles, for disaster risk reduction and climate risk management.
In 2015, FAIR-DRR was established (as LODGD) to study the mechanism for connecting such data and data networks to enable easier and faster discovery, access and creating positive impact in society. FAIR-DRR was able to demonstrate data science applications in the field and in recognition, CODATA awarded the GEO SDG Testimonial Award for work on Rapid Damage Mapping response in support of SDG11 in 2020.
The experiences of the COVID-19 pandemic from 2020 onwards have made all disciplines keenly aware that solutions to complex and difficult problems require data to be readily assessable and actionable. Opportunities for machines using big data in combination with the most advanced hardware and software technologies are increasingly needed. 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.
The FAIR-DRR task group provides the following activities:
- 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
- Support the delivery of the UNDRR/ISC Hazard Definitions and Classification Review (published 2021) and its Supplement of 302 Hazard Information Profiles (due for publication late 2021)
- Build capacity supported by policy briefs, peer review papers, conferences, webinars and white papers
- Publish the Monthly Disaster Risk Reduction and Open data Newsletter with CODATA, IRDR and UNSDSN, since 2017.
Dr Fakhruddin is an eminent hydro-meteorologist and disaster risk assessor with 19 years’ global experience in water resources and climate resilience projects. His key areas of expertise are hazards forecasting, climate and multi-hazard risk assessments and coastal community resilience.
Capabilities: climate and hydrological risk assessment, design and implementation of hazard early warning system and emergency communication, climate change adaptation, training and capacity building and integrated water resources management.
Institute of Remote Sensing and Digital Earth, China
Extensive knowledge and experience with remote sensing, spatial data infrastructure and disaster data management. Long time service in international organizations, such as CEOS, GEOSS, APN and ICSU. Now he is in the second term to serve as ICSU/WDS SC member.
Rosen Centre for Advance Computing, Purdue University, US
Extensive knowledge and experience with cyber infrastructure technology and information systems. Served as Chair of XD Service Provider Forum and advisory board member to NSF XSEDE. Principal investigator in various data-centric research projects (drought information network, climate change impact on agriculture, global scale geospatial data GeoShare, and data infrastructure building blocks, etc).
Senior research scientist with the Seismological Center of Institute of Environmental Geosciences of the Russian Academy of Sciences (SC IEG RAS)
Dr. Nina Frolova, Ph.D.,is a senior research scientist with the Seismological Center of Institute of Environmental Geosciences of the Russian Academy of Sciences (SC IEG RAS) (the former Joint Council on Seismology and Earthquake Engineering, Academy of Sciences of the USSR).
Principle research fields are statistical analysis of strong ground motion parameters; assessment of seismic loads for hydropower plants and other critical facilities; analysis of vulnerability functions for different elements at risk, earthquake and other hazards’ risk assessment and management. During the last 20 years Dr. Nina Frolova contributed to development of “Extremum” System and its versions “WebLAT”, “Quakeloss”, assigned for expected damage and loss estimations due to earthquakes and other natural and technological disaster within the framework of the Russian Federal Programs“Safety of Population, Buildings and Structures against Natural and Technological Hazards” and “Federal System of Seismological Observations and Earthquake Prediction”. She has also contributed to many studies on earthquake hazard, earthquake risk, and risk reduction, including the IDNDR and regional activities sponsored by UNESCO, UNDP Tadjikistan, the former UNDRO, Council of Europe projects STRIM (Space Technology for Risk Management) and EDRIM (Electronic Discussion in Risk Management).
In 2005 under her leadership four educational programs for high school devoted to risk reduction due to floods, earthquakes, forest fires, industrial explosions and fires and three computational programs for secondary schools devoted to safety in every day life and during emergencies were developed. In 2007-2010 she was the Head of the Project under the umbrella of Emercom of Russia aimed at integrated risk assessment due to natural and technological disasters for the territories of the country and large cities with GIS-technology application. In 2011-2014 she was responsible for the Project under the umbrella of the RAS Presidium aimed at seismic risk assessment and management for the Big Sochi City, venue of 2014 Olympic Winter Games. In 2016 she was responsible for the Project under the umbrella of Emercom of Russia aimed at increasing the reliability of near real time earthquake loss computations at the expense of high resolution space images application in “emergency” mode. Since 2010 up to the present time she is a scientific leader of the team for the development and updating of the knowledge base on physical and socio-economical consequences of damaging earthquakes for improving assessment of seismic vulnerability and risk.
The Soviet of Ministries awarded her, along with others, the USSR prize in 1984 for their work on the seismic loads and earthquake resistance of high dams. In 2005 she was awarded by UNESCO – GARD Medal for distinguished professional leadership and personal commitment to ongoing programs on disaster reduction.
Executive Committee Liaison