Copyright 2008 Roy Tennant,

21st International Conference on
Scientific and Statistical Database Management

June 2-4, 2009

Hotel Monteleone, New Orleans, Louisiana USA

Information for Authors
Call for Papers (pdf)
Submission Instructions
Submission Site
Important Dates
Accepted Papers
Conference Program

Registration, Accommodations & Travel
New Orleans
Conference Venue
Obtain Visa
Getting There

Program Organization
Program Officers
Program Committee
Steering Committee

Previous SSDBMs


uno_reversed_150.gifDepartment of
Computer Science

SSDBM 2009 will bring together scientific domain experts, database researchers, practitioners, and developers for the presentation and exchange of current research concepts, tools, and techniques for scientific and statistical database applications. SSDBM 2009 will continue the tradition of past SSDBM meetings in providing a stimulating environment to encourage discussion, fellowship, and exchange of ideas in all aspects of research related to scientific and statistical databases.

The 21st SSDBM conference provides a forum for original research contributions and practical system design, implementation, and evaluation. SSDBM 2009 invites original research contributions in any area related to scientific and statistical database management, including: 

         Modeling & representation of data & knowledge for scientific domains

         Metadata management for scientific & statistical data

         Architectures for managing scientific data, including P2P- & wiki-based

         Statistical analysis, mining, modeling, & summarization of scientific data

         Storage, querying, & analysis of scientific data, including sensor streams

         Modeling, management, & optimization of scientific workflows & experiments

         Cyberinfrastructure & system architectures for scientific computing & e-science

         Data integration for scientific data

         Annotation & provenance management in scientific databases & workflows

         Visualization of complex scientific data

         Trust issues (privacy, security, reliability, quality) in scientific & statistical data

         Case studies of data management in all domains of science

Short papers discussing new ideas or work at an early stage are also invited. To maximize interaction, the conference will hold a poster session for its short papers.