An Empirical Evaluation of Data Interoperability—A Case of the Disaster Management Sector in Uganda

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dc.contributor.authorMazimwe, Allan
dc.contributor.authorHammouda, Imed
dc.contributor.authorGidudu, Anthony
dc.date.accessioned2023-01-31T16:16:02Z
dc.date.available2023-01-31T16:16:02Z
dc.date.issued2019
dc.description.abstractOne of the grand challenges of disaster management is for stakeholders to be able to discover, access, integrate and analyze task-appropriate data together with their associated algorithms and work-flows. Even with a growing number of initiatives to publish data in the disaster management sector using open principles, integration and reuse are still difficult due to existing interoperability barriers within datasets. Several frameworks for assessing data interoperability exist but do not generate best practice solutions to existing barriers based on the assessment they use. In this study, we assess interoperability for datasets in the disaster management sector in Uganda and identify generic solutions to interoperability challenges in the context of disaster management. Semi-structured interviews and focus group discussions were used to collect qualitative data from sector stakeholders in Uganda. Data interoperability was measured to provide an understanding of interoperability in the sector. Interoperability maturity is measured using qualitative methods, while data compatibility metrics are computed from identifiers in the RDF-triple model. Results indicate high syntactic and technical interoperability maturity for data in the sector. On the contrary, there exists considerable semantic and legal interoperability barriers that hinder data integration and reuse in the sector. A mapping of the interoperability challenges in the disaster management sector to solutions reveals a potential to reuse established patterns for managing data interoperability. These include; the federated pattern, linked data patterns, broadcast pattern, rights and policy harmonization patterns, dissemination and awareness pattern, ontology design patterns among others. Thus a systematic approach to combining patterns is critical to managing data interoperability barriers among actors in the disaster management ecosystem.en_US
dc.identifier.citationMazimwe, A., Hammouda, I., & Gidudu, A. (2019). An empirical evaluation of data interoperability—A case of the disaster management sector in Uganda. ISPRS International Journal of Geo-Information, 8(11), 484. doi:10.3390/ijgi8110484en_US
dc.identifier.other10.3390/ijgi8110484
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/7430
dc.language.isoenen_US
dc.publisherISPRS International Journal of Geo-Informationen_US
dc.subjectDisasteren_US
dc.subjectHazarden_US
dc.subjectFAIRen_US
dc.subjectData interoperabilityen_US
dc.subjectPatternsen_US
dc.titleAn Empirical Evaluation of Data Interoperability—A Case of the Disaster Management Sector in Ugandaen_US
dc.typeArticleen_US
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