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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 will serve as a 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 will 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. [Acceptance pending] 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</pre><div class="alert alert-warning"> Last updated by <a href="/researcher/1">Dou Sun</a> in 2025-03-01</div> </div> </div>  <div class="portlet" id="yw2"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-th"></i> Related Conferences</div> 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(adsbygoogle = window.adsbygoogle || []).push({}); </script> </div> </div> </div> </div> <div class="span2 hidden-phone"> <div class="sidebar-nav"> <ul id="yw9"> <li><a href="http://www.myhuiban.com/conference/track/id/154"><i class="icon icon-plus"></i>   Track It <span class="badge badge-warning pull-right">61</span></a></li> <li><a href="http://www.myhuiban.com/conference/attend/id/154"><i class="icon icon-plane"></i>   Attend It <span class="badge badge-important pull-right">11</span></a></li> <li><a href="/conference/edit/154"><i class="icon icon-edit"></i>   Edit CFP</a></li> </ul><br/> <div id="yw10" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw10_c0">Tracker</th></tr> </thead> <tbody> <tr class="odd"> <td><a href="/researcher/71155">Bocong Zhao (113)</a></td></tr> <tr class="even"> <td><a href="/researcher/70775">Xiao Huishan (92)</a></td></tr> <tr class="odd"> <td><a href="/researcher/8860">Z Chu 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title="/conference/154"><span>71155</span><span>70775</span><span>8860</span><span>70402</span><span>57781</span><span>49075</span><span>43098</span><span>56762</span><span>55260</span><span>49554</span><span>56365</span><span>56285</span><span>55955</span><span>53311</span><span>55176</span><span>55402</span><span>46590</span><span>36104</span><span>39043</span><span>43001</span><span>42612</span><span>13952</span><span>34544</span><span>27315</span><span>17688</span><span>20072</span><span>18685</span><span>25866</span><span>20865</span><span>13407</span><span>17037</span><span>14345</span><span>13619</span><span>7327</span><span>7156</span><span>6511</span><span>9884</span><span>5654</span><span>11754</span><span>8990</span><span>10801</span><span>7462</span><span>6616</span><span>7088</span><span>8249</span><span>8236</span><span>6570</span><span>6286</span><span>1589</span><span>1640</span><span>1991</span><span>449</span><span>3456</span><span>2743</span><span>3429</span><span>3123</span><span>3283</span><span>1449</span><span>162</span><span>143</span><span>114</span></div> </div> <div id="yw12" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw12_c0">Attender</th><th id="yw12_c1">Year</th></tr> </thead> <tbody> <tr class="odd"> <td><a href="/researcher/69309">Junpeng Yu (132)</a></td><td>2024</td></tr> <tr class="even"> <td><a href="/researcher/57781">Inanc Arin (12)</a></td><td>2023</td></tr> <tr class="odd"> <td><a href="/researcher/13952">Wei Zhang (674)</a></td><td>2021</td></tr> <tr class="even"> <td><a href="/researcher/7113">Yubiao Chen (1415)</a></td><td>2020</td></tr> <tr class="odd"> <td><a href="/researcher/17688">Yufeng Lv (2388)</a></td><td>2020</td></tr> <tr class="even"> <td><a href="/researcher/9119">Liu Liu (667)</a></td><td>2018</td></tr> <tr class="odd"> <td><a href="/researcher/7327">Chaoping Ding (410)</a></td><td>2018</td></tr> <tr class="even"> <td><a href="/researcher/7088">Jianghua Zhao (279)</a></td><td>2018</td></tr> <tr class="odd"> <td><a href="/researcher/11754">Chaobing Feng (313)</a></td><td>2018</td></tr> <tr class="even"> <td><a href="/researcher/10830">Ding Duo (185)</a></td><td>2018</td></tr> <tr class="odd"> <td><a href="/researcher/3319">Huang Beijing (1101)</a></td><td>2016</td></tr> </tbody> </table><div class="keys" style="display:none" title="/conference/154"><span>69309</span><span>57781</span><span>13952</span><span>7113</span><span>17688</span><span>9119</span><span>7327</span><span>7088</span><span>11754</span><span>10830</span><span>3319</span></div> </div> <div class="portlet" id="yw14"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-gift"></i> Advertisment</div> </div> <div class="portlet-content"> <div align="center"> <div id="12717-20"><script src="//ads.themoneytizer.com/s/gen.js?type=20"></script><script src="//ads.themoneytizer.com/s/requestform.js?siteId=12717&formatId=20" ></script></div> </div>    </div> </div> </div> </div> </div> </div> </section>  <footer> 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