https://www.socictopen.socict.org/files/original/933ae66d91d05d5232f48292a0a9e6a1.pdf d43d608daf57f2bb45b1672a553ce214 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource CLOUD-BASED INTEGRATION AND STANDARDIZATION OF ADDRESS DATA FOR DISASTER MANAGEMENT – A SOUTH AFRICAN CASE STUDY Creator An entity primarily responsible for making the resource G. Tredrea, S. Coetzee, V. Rautenbach Description An account of the resource Addresses are essential for disaster risk management and response because they are used to locate people affected by a disaster or at risk of being affected. South Africa is vulnerable to disasters, however, despite a legislative framework for supporting disaster risk management that meets international standards, implementation falls short due to underfunding, poor interdepartmental coordination and lack of political support. The importance of cross jurisdictional address data was highlighted by the COVID-19 pandemic of 2020 when the geocoding of positive cases was hindered due to the lack of such address data in South Africa. In this paper, we present first results about a cloud-based tool for integrating address data from multiple municipalities into a single address dataset that conforms to the South African National Standard, SANS 1883-2:2017, Geographic information – Addresses: Part 2: Address data exchange. We reviewed and evaluated three cloud platforms for the prototype implementation. The integrated dataset is maintained in the cloud and therefore readily accessible by relevant organizations. At the same time, processing in the cloud can handle changing volumes of data with elasticity, i.e. computing power can be increased or decreased at short notice, as necessary during a disaster response. Furthermore, processing can be automated, thereby mitigating the risk of reduced manpower due to a disaster. Overall, a properly maintained cloud-based tool can result in more efficient use of resources presenting a viable and interesting alternative for underfunded disaster risk management centres in South Africa and other parts of the world. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context 10.5194/isprs-archives-XLIV-3-W1-2020-145-2020 Source A related resource from which the described resource is derived The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Publisher An entity responsible for making the resource available Copernicus Publications Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Engineering (General). Civil engineering (General), Technology, Applied optics. Photonics