Call for Regular, Short, Demo Papers - International Conference on Scalable Scientific Data Management (SSDBM) 2025
When: June 23rd to 25th, 2025
Where: The Ohio State University, Columbus, Ohio, USA
Website: https://ssdbm.org/2025

The International Conference on Scalable Scientific Data Management 2025 aims to bring together domain experts, data management researchers, practitioners, and developers to present and exchange the latest research findings on concepts, tools, and techniques for scalable scientific data management. While previous editions of SSDBM primarily focused on scientific statistical databases, the 37th edition in 2025 will broaden its scope to encompass all areas of scalable and scientific data management. Reflecting this expanded focus, the conference has been renamed from the International Conference on Scientific and Statistical Database Management to the International Conference on Scalable Scientific Data Management, while retaining the well-known acronym, SSDBM.

The new SSDBM conference (https://ssdbm.org/2025) will serve as a premier forum for original research contributions, as well as practical system design, implementation, and evaluation of the latest advances in scalable and scientific data management. The program typically features a single-track format to foster active discussion and includes 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, from June 23 to June 25, 2025. Continuing the tradition of past SSDBM meetings, SSDBM 2025 will offer a stimulating environment designed to foster discussion, collaboration, and the exchange of ideas on all aspects of scientific and statistical data management research, as well as high-performance data analysis tools and techniques for distributed datasets.
The Proceedings of SSDBM 2025 are expected to be published by Association of Computing Machinery (ACM) International Conference Proceeding Series (ICPS) and will appear in the ACM Digital Library and many indexing providers. [Pending ACM ICPS Acceptance]

Topics of Interest
Topics of particular interest include, but are not limited to, the following, as they relate to scientific data management:
Scientific Applications, Workflows and Reproducibility
Design, implementation, optimization, and reproducibility of scientific workflows
Platforms and tools for reproducible data science and scientific collaboration
Application case studies (e.g., astrophysics, climate, energy, sustainability, biomedicine)
Open data standards and cross-platform compatibility for scientific data
Cloud computing issues in large-scale data management
System architectures for scientific data
HPC applications and scalability challenges in data-intensive scientific fields
Data ethics, bias in scientific data handling, and privacy in large-scale studies
Handling data errors, inconsistencies, and outliers in scientific datasets
Data Modeling, Management, and Integration
FAIR data principles (Findable, Accessible, Interoperable, Reusable)
Data lifecycle and retention management, provenance data management
Data integration
Data storage and management architectures (e.g., distributed file systems, data lakes, high-performance storage)
Protocols and frameworks for cross-domain data sharing and exchange
Modeling of scientific data
Schema evolution
Information retrieval and text mining
Indexing and querying scientific data, including spatial, temporal, and streaming data
Big Data Processing and Performance Aspects
Big data processing frameworks for scientific data
Scalable architectures and distributed systems for managing large-scale datasets
Optimization techniques for high-efficiency data storage and retrieval
Innovations in data compression and encoding for enhanced performance
Efficient computational techniques for statistical data analysis and modeling
Methods for ensuring data quality, integrity, and consistency in big data environments
Smart city applications and services leveraging high-performance data solutions
Machine Learning, Artificial Intelligence, and Visualization
Database support of machine learning and AI
Data management for AI applications
Machine learning and AI for scientific data management
Visualization and exploration of large datasets
Security and privacy in scientific data management
Data storage and compression techniques for machine learning
Streaming and Real-Time Data Processing
Stream data representation and management
Stream data analysis (e.g., summarization, statistical analysis, pattern matching, pattern discovery, learning, and prediction)
Dataflow and parallel processing for complex data workflows
Distributed systems and devices
Internet of Things (IoT) data analytics
Location-aware recommender systems

Regular Paper Submissions
Authors are invited to submit original, unpublished manuscripts.
Regular Research Papers are up to 12 pages (including references and appendices). Papers should be descriptions of complete technical work.
All submissions should be formatted using the ACM format available at https://www.acm.org/publications/proceedings-template by selecting the generic “sigconf” sample. For submissions prepared in LaTex, authors are recommended to use \documentclass[sigconf,review]{acmart} configuration.
SSDBM 2025 is single-blind reviewed; authors must include their names and affiliations on the first page. All authors should respect ACM Policy on Authorship and use of generative AI tools and technologies (details on the policy are available at https://www.acm.org/publications/policies/new-acm-policy-on-authorship).
Submission site: https://easychair.org/conferences/?conf=ssdbm2025
The program committee may decide to accept some papers as short papers or posters. Regular papers will be given a presentation slot in the conference, while short papers will be given a short presentation slot in the conference. Regular papers (up to 12 pages including references) and Short papers (up to 6 pages including references) will be included as part of the conference proceedings. Posters with a single page abstract and electronic poster presentation will be published on the conference website, without proceedings.
Important Dates
Abstract submission: Feb 16th, 2025, 23:59 AoE (Anywhere on Earth)
Submission deadline: Feb 23rd, 2025 at 23:59 AoE (Anywhere on Earth)
Notification: April 4th, 2025

Short papers
Short papers are up to 6 pages (including references and appendices). Short papers should describe interesting, innovative ideas, which nevertheless require more work to mature, or are vision papers. Short papers will be given a short presentation slot in the conference and presented in the form of posters.

Demo papers
Demo papers are up to 6 pages (including references and appendices). Demo paper proposals should provide the motivation for the demonstrated concepts, the information about the technology and the system to be demonstrated (including a system description, functionality and figures when applicable), and should state the significance of the contribution. Selection criteria for the demonstration proposals evaluation include: the novelty, the technical advances and challenges, and the overall practical attractiveness of the demonstrated system. Demo papers will be given a short presentation slot in the conference and presented in the form of posters.

Submission Guidelines for Short & Demo papers
Authors are invited to submit original, unpublished manuscripts.
Short and Demo Papers are up to 6 pages (including references and appendices). Papers should be descriptions of complete technical work.
All submissions should be formatted using the ACM format available at https://www.acm.org/publications/proceedings-template by selecting the generic “sigconf” sample. For submissions prepared in LaTex, authors are recommended to use \documentclass[sigconf,review]{acmart} configuration.
SSDBM 2025 is single-blind reviewed; authors must include their names and affiliations on the first page. All authors should respect ACM Policy on Authorship and use of generative AI tools and technologies (details on the policy are available at https://www.acm.org/publications/policies/new-acm-policy-on-authorship).
Important dates:
Submission deadline: March 11th, 2025 at 23:59 AoE (Anywhere on Earth)
Notification: April 14th, 2025
Submission site: https://easychair.org/conferences/?conf=ssdbm2025
Short & Demo papers will be given a presentation slot in the conference. Short & Demo papers (up to 6 pages including references) will be given an entry in the conference proceedings.

If your paper is selected, at least one author must register for the Technical Program in order to attend the conference and present the paper. Each author registration can be applied to only one accepted submission. For an accepted paper to be included in the proceedings, the author has to present the paper at the conference in person. Otherwise, the paper will be removed from the proceedings.