Type
Conference PaperKAUST Department
Biological and Environmental Sciences and Engineering (BESE) DivisionComputer Science Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Investment Fund
Marine Science Program
Red Sea Research Center (RSRC)
Reef Genomics Lab
Date
2010-05Permanent link to this record
http://hdl.handle.net/10754/564278
Metadata
Show full item recordAbstract
Marine 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.Journal
OCEANS'10 IEEE SYDNEYConference/Event name
OCEANS'10 IEEE Sydney, OCEANSSYD 2010ISBN
9781424452217ae974a485f413a2113503eed53cd6c53
10.1109/OCEANSSYD.2010.5603578