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Disaster Data Platforms

The Humanitarian Data Exchange Keeps Life-Saving Information in One Place

— May 23, 2015 — Tech
Data-sharing website Humanitarian Data Exchange could be a life saver during a crisis. The platform enables non-governmental organizations to collate, standardize and comprehend data relating to disasters like the Nepal earthquake or the Philippines typhoon. Information like maps, population density and climate details are vital in the development of rescue missions. However, this kind of data is often organized in unusable formats, requiring the information to be retyped and processed, which only wastes time.

The Humanitarian Data Exchange (or HDX) is a platform created by the UN and global design firm Frog. It coordinates relevant information on one website, allowing disaster relief organizations to better collaborate. This will not only save time, but resources too. The user-friendly and intuitive interface makes collecting data and analyzing it easy as well.
Trend Themes
1. Disaster Data Platforms - Platforms for data sharing during disasters will increase efficiency of rescue missions and promote collaboration among NGOs.
2. Standardization of Disaster Data - The standardization of disaster data through platforms like HDX will make information more accessible and legible to relief organizations.
3. User-friendly Data Analysis - User-friendly data analytics features like the ones found on HDX will enable relief organizations to gain insights quickly and efficiently.
Industry Implications
1. Non-governmental Organizations - NGOs will benefit greatly from disaster data platforms like HDX, as they will be able to collaborate and access vital data easily.
2. Emergency Management Services - Emergency management services can leverage data platforms like HDX to improve disaster response times and communicate more effectively with relief organizations.
3. Data Analytics - Data analytics companies can contribute to the development of more user-friendly and accessible platforms like HDX to better analyze disaster data.
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