GDMD: A Disaster Data Hub Fabric the Open Data Network for Disaster Risk Reduction
Disaster risk reduction is a priority in the Open Science recommendations proposed by UNESCO. Diverse types of scattered disaster data are the basis for disaster prevention and mitigation. The realization of these interconnections and links remains challenging. This study proposes an open directory...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ubiquity Press
2025-02-01
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| Series: | Data Science Journal |
| Subjects: | |
| Online Access: | https://account.datascience.codata.org/index.php/up-j-dsj/article/view/1849 |
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| Summary: | Disaster risk reduction is a priority in the Open Science recommendations proposed by UNESCO. Diverse types of scattered disaster data are the basis for disaster prevention and mitigation. The realization of these interconnections and links remains challenging. This study proposes an open directory mechanism that facilitates the interoperability of global disaster data resources, named Global Disaster Data Master Directory (GDMD). Based on open standards and open-source technology, the prototype GDMD system was developed and deployed in the Disaster Risk Reduction Knowledge Service (DRRKS) system at the UNESCO Category 2 centre. The GDMD realizes three types of disaster data resource aggregation: local resources built by DRRKS, manual cataloging from open disaster platforms worldwide, and protocol harvesting based on interoperable technology. Two types of retrieval services are implemented for users through local and federal searches. The master directory has interconnected over 1,400 resources. The open model of GDMD can realize Findable, Accessible, Interoperable, and Reusable data governance in disaster risk reduction, further pushing the Open Science mechanism and innovative applications of resources. |
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| ISSN: | 1683-1470 |