Online database of empirical evidence of dynamics and feedbacks of risk drivers
Existing risk models often do not account for dynamics in risk elements. Here we present theMetadatabase for Dynamics of Risk Drivers, an online catalogue of data, algorithms and methodsto (empirically) assess dynamics and feedbacks of risk drivers. The metadatabase containsinformation on methods, algorithms and data produced within MYRIAD-EU and beyond. It isintended to be used by scientists and practitioners in the field of disaster risk modelling andpresents them with metadata attributes and references. We apply existing terminology frameworksfrom within MYRIAD-EU and from other international standards to ensure consistency betweenentries. Further integration into MYRIAD-EU products within the duration of the project arediscussed, like the integration in the Disaster Risk Gateway Wiki with semantic search functions,and inclusion of several of the metadatabase’s entries into the multi-risk software from WP5. Futureexpansion efforts rely on additional funding and the ability to attract external contributors, whichwe aim to involve via conferences and future research calls.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-31
- DOI
- https://doi.org/10.5281/zenodo.16366664
- Primary Topic
- Flood Risk Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00