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dc.contributor.authorMachda, Fahmi
dc.contributor.authorMoreno Pérez, Norú Ichim
dc.contributor.authorUtomo, Chandra Prasetyo
dc.contributor.authorVoolstra, Christian R.
dc.date.accessioned2015-08-04T06:21:53Z
dc.date.available2015-08-04T06:21:53Z
dc.date.issued2010-05
dc.identifier.citationMachda, F., Ichim-Moreno, N., Prasetyo Utomo, C., & Voolstra, C. R. (2010). Development of the Red Sea Biogeographic Information System. OCEANS’10 IEEE SYDNEY. doi:10.1109/oceanssyd.2010.5603578
dc.identifier.isbn9781424452217
dc.identifier.doi10.1109/OCEANSSYD.2010.5603578
dc.identifier.urihttp://hdl.handle.net/10754/564278
dc.description.abstractMarine studies, surveys, and observational activities are continuously generating new and diverse data, which are hard to keep track of with tables and spreadsheets. Integrated data and information management systems that collect, analyze, and combine data are needed in order to provide a comprehensive picture of marine environments under study. For these reasons, we started to develop the Red Sea Biogeographic Information System (RBIS) at King Abdullah University of Science and Technology (KAUST) as a web application utilizing the most updated Web 2.0 technologies. RBIS is designed to have an easily accessible interface that is able to host and display research activities conducted in the Red Sea. Its data model is designed to deal with any kind of marine data. For its data structure, RBIS is organizing the data into three main categories: biological data, physicochemical data, and human activities. Spatial distribution of these data is visualized on a Google-Maps mashup. Dynamic charts are used to visualize the statistics of the data. With these functionalities, data model, and data structure, RBIS is able to organize, visualize, and do instantly combined analyses of research data from the Red Sea. The current version is accessible at http://www.kaust.edu.sa/rbis. © 2010 IEEE.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.titleDevelopment of the Red Sea Biogeographic Information System
dc.typeConference Paper
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.contributor.departmentComputer Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentInvestment Fund
dc.contributor.departmentMarine Science Program
dc.contributor.departmentRed Sea Research Center (RSRC)
dc.contributor.departmentReef Genomics Lab
dc.identifier.journalOCEANS'10 IEEE SYDNEY
dc.conference.date24 May 2010 through 27 May 2010
dc.conference.nameOCEANS'10 IEEE Sydney, OCEANSSYD 2010
dc.conference.locationSydney, NSW
kaust.personVoolstra, Christian R.
kaust.personMachda, Fahmi
kaust.personMoreno Pérez, Norú Ichim
kaust.personUtomo, Chandra Prasetyo


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