SSDBM 2013 International Conference on Scientific and Statistical Database Management

Welcome to SSDBM 2013

The annual SSDBM conference is an international forum for scholarly discourse on designing, building, analyzing and evaluating scientific and statistical data management systems and applications. This event will bring together leading scientific domain experts, practitioners, application developers and users to exchange cutting-edge insights and experiences, and to inspire future research directions. The conference will feature a rich program of research presentations, invited speakers, panel sessions, and demonstrations of research prototypes and industrial systems that capture the ever-increasing interdependence between data management, statistical methods, and scientific research and applications.

In its 25th year, SSDBM will take place in the city of Baltimore, Maryland, between the 29th and 31st of July. Baltimore, nicknamed "Charm City", is a major seaport located in the Mid-Atlantic region of the United States. The city features a vibrant and festive harbor area, many unique neighborhoods and landmarks, and world class attractions and entertainment from museums and galleries to sporting events. Baltimore is home to the Johns Hopkins University and the Johns Hopkins Medical School, an internationally-renowned institution for excellence in medical research, teaching and patient care. As part of the Baltimore-Washington Metropolitan Area, the city offers quick access to the nation's capitol, as well as the Atlantic coast including Annapolis, Ocean City, and the Chesapeake Bay.

Important Dates

  • 2/12/2013: abstract submission deadline
  • 2/19/2013: paper/poster/demo submission
  • 4/12/2013: paper notifications
  • 6/30/2013: hotel registration deadline
  • 7/28/2013: arrival date / hosted reception
  • 7/30/2013: conference dinner
  • 7/31/2013: adjourn at noon

Topics of general interest include (but not limited to):

  • Modeling and representation of data, metadata, ontologies, and processes, e.g., array-based data models
  • Cyberinfrastructure for scientific computing and eScience
  • Data-intensive and cloud computing
  • System architectures in support of scientific and statistical data management and analysis, e.g., multi-core, GPUs
  • Querying of scientific data, including spatial, temporal, spatio-temporal, and streaming data
  • Integration and exchange of data, including the federation and management of institutional data repositories
  • Design, implementation, optimization of scientific workflows
  • Annotation and provenance of data
  • Visualization and exploration
  • Data support, case studies, and applications - particularly for grand challenge science questions, e.g., sustainability, global climate change

In addition to the above areas, SSDBM 2013 invites original contributions related to statistical data management including:

  • Modeling, estimation, regression and classification techniques in scientific applications
  • Novel statistical and probabilistic methods for scalable (parallel) sampling, inference and prediction
  • Streaming algorithms and approaches to statistical methods, for one-pass analysis of large datasets
  • Handling and visualizing approximations, error propagation
  • Large-scale data analytics applications and infrastructures