The growing recognition of data's value for research and design in natural hazards infrastructure engineering is timely. This project seeks to further develop and curate open-access databases consistently. Interactive web-based software will be created, offering predictive models and probabilistic distribution functions for structural metallic material damage, along with enhanced data visualization. The data curation process aligns with FAIR principles, harmonizing formats for broader data reuse in research and engineering. Dissemination, maintenance, and comprehensive guidelines for standardizing data storage and visualization will ensure long-term sustainability.