Title :
A database server for next-generation scientific data management
Author :
Eltabakh, Mohamed Y. ; Aref, Walid G. ; Elmagarmid, Ahmed K.
Author_Institution :
Comput. Sci. Dept., Purdue Univ., West Lafayette, IN, USA
Abstract :
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 in scientific databases, mainly, (1) Annotation management, and (2) Complex dependencies involving human actions. In the paper, we discuss the challenges involved in each of these requirements and present the key contributions and main results in each of the two fronts.
Keywords :
database management systems; natural sciences computing; annotation management; atmospheric sciences; data collection; database server; database system technologies; next-generation scientific data management; Automation; Chemistry; Computer science; Database systems; Geoscience; History; Humans; Meteorology; Physics; Technology management;
Conference_Titel :
Data Engineering Workshops (ICDEW), 2010 IEEE 26th International Conference on
Conference_Location :
Long Beach, CA
Print_ISBN :
978-1-4244-6522-4
Electronic_ISBN :
978-1-4244-6521-7
DOI :
10.1109/ICDEW.2010.5452723
