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The growth of scientific information and the increasing automation of data collection have made databases integral to many scientific disciplines including life sciences, physics, meteorology, earth and atmospheric sciences, and chemistry. These sciences pose new data management challenges to current database system technologies. The thesis work presented in this paper proposes a database server for next-generation scientific data management. The proposed sever realizes two core requirements indoi:10.1109/icdew.2010.5452723 dblp:conf/icde/EltabakhAE10 fatcat:m3poj7ig3bfetbpgggcm7zrofq