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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| Format: | Article |
| Language: | English |
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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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| _version_ | 1850040972335906816 |
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| author | Juanle Wang Kun Bu Xiaodong Min Qiuyuan Wang Yuelei Yuan Feiran Sun |
| author_facet | Juanle Wang Kun Bu Xiaodong Min Qiuyuan Wang Yuelei Yuan Feiran Sun |
| author_sort | Juanle Wang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-5a29e2ed3171412cbc05edeec26bc1c8 |
| institution | DOAJ |
| issn | 1683-1470 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Ubiquity Press |
| record_format | Article |
| series | Data Science Journal |
| spelling | doaj-art-5a29e2ed3171412cbc05edeec26bc1c82025-08-20T02:55:54ZengUbiquity PressData Science Journal1683-14702025-02-01248810.5334/dsj-2025-0081849GDMD: A Disaster Data Hub Fabric the Open Data Network for Disaster Risk ReductionJuanle Wang0https://orcid.org/0000-0002-5641-0813Kun Bu1Xiaodong Min2Qiuyuan Wang3Yuelei Yuan4Feiran Sun5State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, CN; China-Pakistan Earth Science Research Center, Islamabad 45320, PK; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences Natural Resources Research, Chinese Academy of Sciences, Beijing 100101; School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255049Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences Natural Resources Research, Chinese Academy of Sciences, Beijing 100101State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences Natural Resources Research, Chinese Academy of Sciences, Beijing 100101Disaster 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.https://account.datascience.codata.org/index.php/up-j-dsj/article/view/1849open sciencedata sharingdata catalogmetadatafair principle |
| spellingShingle | Juanle Wang Kun Bu Xiaodong Min Qiuyuan Wang Yuelei Yuan Feiran Sun GDMD: A Disaster Data Hub Fabric the Open Data Network for Disaster Risk Reduction Data Science Journal open science data sharing data catalog metadata fair principle |
| title | GDMD: A Disaster Data Hub Fabric the Open Data Network for Disaster Risk Reduction |
| title_full | GDMD: A Disaster Data Hub Fabric the Open Data Network for Disaster Risk Reduction |
| title_fullStr | GDMD: A Disaster Data Hub Fabric the Open Data Network for Disaster Risk Reduction |
| title_full_unstemmed | GDMD: A Disaster Data Hub Fabric the Open Data Network for Disaster Risk Reduction |
| title_short | GDMD: A Disaster Data Hub Fabric the Open Data Network for Disaster Risk Reduction |
| title_sort | gdmd a disaster data hub fabric the open data network for disaster risk reduction |
| topic | open science data sharing data catalog metadata fair principle |
| url | https://account.datascience.codata.org/index.php/up-j-dsj/article/view/1849 |
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