Data and information management

This theme covers aspects related to hardware, software, networks, and media for the collection, storage, processing, transmission and presentation of information for disaster risk reduction (DRR), as well as related services. It also addresses information management to support knowledge sharing for DRR, such as data exchange standards and taxonomy.

Latest Data and information management additions in the Knowledge Base

Tornado in Colorado, USA
Scientists take calculated risks when they’re storm chasing – enough to collect crucial data, but never putting their teams in too much danger. It turns out that driving is actually the most dangerous part of storm-chasing.
Conversation Media Group, the
Weather monitoring station in tree-covered hilly surroundings
A decline in disaster-related mortality alongside an increase in the disaster-affected population highlights improved preparedness capabilities. However, it underscores the urgent need to enhance resilience-building and address underlying risks.
UNDRR Bonn Office
Documents and publications
Satellite-detected night lights data are widely used to evaluate economic impacts of disasters. But growing evidence in applied economics suggests that impact estimates are potentially distorted when popular DMSP night lights data are used.
U.S. Geological Survey scientists will deploy to the active South Fork and Salt fires today to increase water data transmission from streamgages within the burn area.
United States Geological Survey
Creative design with human hands holding a speech bubble
Research briefs
As global temperatures continue to rise, heat waves are becoming more frequent and severe. Because of this, communicating heat-related risks to the public is increasingly important for both their own protection and to encourage mitigation policies.
Yale Project on Climate Change Communication
Angela Tamrakar
The BIPAD Portal was developed to meet the need to convey information to the community about the technical aspects of engineering that are vital to ensure disaster resiliency.
Documents and publications
In this study, the authors provide insights into the missing data, highlighting the importance of data quality control to account for bias.
The delivery of Early Warnings for All (EW4All) requires scaled up and coordinated investments and action across the four essential pillars of end to end, people-centred Multi-Hazard Early Warning Systems (MHEWS).
World Meteorological Organization (WMO)
Uploaded on

Is this page useful?

Yes No
Report an issue on this page

Thank you. If you have 2 minutes, we would benefit from additional feedback (link opens in a new window).