Paper submission deadline (Main Track): Feb 23rd, 2025
Paper submission deadline (Short and Demo papers): Mar 11th, 2025
Paper submission deadline (Posters): Mar 31st, 2025
Notification for acceptance (Papers): Apr 4th, 2025
Notification for acceptance (Short and Demo papers): Apr 14th, 2025
Notification for acceptance (Posters): Apr 14th, 2025
Camera-Ready Deadline: TBD, 2025Author Registration Deadline: TBD, 2025
The International Conference on Scalable Scientific Data Management 2025 is aimed to bring together domain experts, data management researchers, practitioners, and developers for the presentation and exchange of the latest research results on concepts, tools, and techniques for scalable and scientific data management. Previous editions of SSDBM focused on scientific statistical databases. In 2025, the scope of the 37th edition of SSDBM will be expanded to all scalable and scientific data management fields. The name of the conference is changed to International Conference on Scalable Scientific Data Management from the International Conference on Scientific and Statistical Database Management, while keeping the acronym SSDBM.
The new SSDBM conference will provide a forum for original research contributions and practical system design, implementation and evaluation of latest advances in scalable and scientific data management. The conference program typically consists of a single track to facilitate discussion, and contains presentations of invited talks, panel sessions, and demonstrations of research prototypes and industrial systems.
SSDBM 2025 will be hosted by The Ohio State University in Columbus, Ohio. The conference will be held on June 23 - 25, 2025, in the Ideation Zone of the Translational Data Analytics Institute. SSDBM 2025 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 data management, and high-performance data analysis tools and techniques for distributed datasets.
General Chair
Suren Byna, The Ohio State University
General Vice Chair
Anthony Kougkas, Illinois Institute of Technology
Program Co-chairs
Venkat Vishwanath, Argonne National Laboratory
Sarah Neuwirth, Johannes Gutenberg University Mainz
Short and demo paper Co-chairs
Dong Dai, University of Delaware
Jalil Boukhobza, ENSTA-Bretagne
Alfredo Cuzzocrea, University of Calabria
Student Posters Competition co-chairs
Jay Lofstead, Sandia National Laboratory
Karly Harrod, Oak Ridge National Laboratory
Proceedings Chair
Jean Luca Bez, Lawrence Berkeley National Laboratory
Local Event Coordinators
TBD
Web Chair
Houjun Tang, Lawrence Berkeley National Laboratory
Publicity chair
Chen Wang, Lawrence Livermore National Laboratory
Steering Committee