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

fYear

2010

fDate

1-6 March 2010

Firstpage

313

Lastpage

316

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICDEW.2010.5452723

Filename

5452723