A database server for next-generation scientific data management

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationICDE Workshops 2010 - The 2010 IEEE 26th International Conference on Data Engineering Workshops
Pages313-316
Number of pages4
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 IEEE 26th International Conference on Data Engineering Workshops, ICDEW 2010 - Long Beach, CA, United States
Duration: 1 Mar 20106 Mar 2010

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Conference

Conference2010 IEEE 26th International Conference on Data Engineering Workshops, ICDEW 2010
Country/TerritoryUnited States
CityLong Beach, CA
Period1/03/106/03/10

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