Conference Information
SIGMOD 2023: ACM Conference on Management of Data
https://2023.sigmod.org/Submission Date: |
2022-10-15 |
Notification Date: |
2022-12-20 |
Conference Date: |
2023-06-18 |
Location: |
Seattle, Washington, USA |
Years: |
50 |
CCF: a CORE: a* QUALIS: a1 Viewed: 139734 Tracked: 253 Attend: 31
Call For Papers
The annual ACM SIGMOD conference is a leading international forum for data management researchers, practitioners, developers, and users to explore cutting-edge ideas and results, and to exchange techniques, tools, and experiences. TRACKS There are three research tracks in SIGMOD 2023: Regular Track We invite the submission of original research contributions relating to all aspects of data management. Data Management for Data Science (DMDS) Special Track We invite the submission of original data science research targeting the data life cycle of real applications, studying phenomena at scales, complexities, and granularities never before possible. This data life cycle encompasses databases/data management/data systems/data engineering often leveraging statistical, machine learning, and artificial intelligence methods and, in many instances, using massive and heterogeneous collections of potentially noisy datasets. Such papers are expected to focus on data-intensive components of data science pipelines; and solve problems in areas of interest to our community (e.g., data curation, optimization, performance, storage, systems). Submissions are expected to describe (a) deployed solutions to data science pipelines and/or (b) fundamental experiences and insights from evaluating real-world data science problems. We expect that the related systems and/or datasets (including possibly query logs) will be accessible for the data management research community in order to promote future research directions. Data-intensive Applications (DIA) Special Track We invite the submission of papers, from outside of the data management community, describing applications, systems, and datasets (e.g. content, creation, quality), along with the underlying practical data management problems and related research challenges. These applications stem from outside the core data management community (e.g., computer graphics, computer networking) or even from outside computer science (e.g., astronomy, finance, genomics, healthcare), but have clearly demonstrated non-trivial data-centric challenges necessitating novel systems and technologies. Therefore, papers are expected to have as the primary author a researcher or practitioner from a different research community or application area. Submissions are expected to describe (a) deployed solutions to data-intensive applications and/or (b) fundamental experiences and insights from evaluating real-world data-intensive applications. We expect that the relat ed systems and/or datasets (including possibly query logs) will be accessible for the data management research community in order to promote future research directions. Regular track papers are subject to double-blind requirement; special track papers are not subject to this requirement (i.e., their review is single-blind). HIGHLIGHTS NEW in 2023 Paper submission deadlines: April 15 (Cycle A), July 15 (Cycle B), October 15 (Cycle C) Submission website: https://cmt3.research.microsoft.com/SIGMOD2023 Submissions must use the latest ACM format in the default 9pt font. Regular Track submissions must be at most 12 pages plus an unlimited number of pages for citations. Special Track submissions must be at most 8 pages plus an unlimited number of pages for citations. For all tracks, one extra page is allowed after the first review to reflect the reviewer feedback. TOPICS OF INTEREST We invite submissions relating to all aspects of the data life cycle. Topics of interest include, but are not limited to: Benchmarking, database monitoring, and performance tuning Cloud data management and HPC Crowdsourced and collaborative data management Data models and semantics Data provenance and workflows Data exploration, visualization, query languages, and user interfaces Data integration, information extraction, and schema matching Data quality, data cleaning, and database usability Data warehousing, OLAP, SQL Analytics Data security, privacy, and access control Data sparsity, boosting, simulated data, and digital twins Data platforms for emerging hardware/Emerging hardware for data management Data systems for knowledge discovery, data mining, machine learning, and artificial intelligence Distributed, decentralized, and parallel data management, distributed ledgers, and blockchainsGraphs, social networks, and semantic web Machine learning and artificial intelligence for data management and data systems Multimedia and information retrieval Query processing and optimization Responsible data management and data fairness Self-driving databases Semistructured, partially structured, and unstructured data Sensor networks and IoT Spatial data management Storage, indexing, and physical database design Streams and complex event processing Temporal databases Transaction processing Uncertain, probabilistic, and approximate databases SIGMOD welcomes submissions on inter-disciplinary work, as long as there are clear contributions to management of data.
Last updated by Dou Sun in 2022-04-17
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Related Journals
CCF | Full Name | Impact Factor | Publisher | ISSN |
---|---|---|---|---|
International Journal of Network Management | 1.231 | Wiley-Blackwell | 1055-7148 | |
c | Journal of Database Management | 2.121 | IGI Global | 1063-8016 |
ACM Transactions on Management Information Systems | ACM | 2158-656X | ||
Journal of Management Information Systems | 2.662 | Myron E. Sharpe | 0742-1222 | |
International Journal of Database Management Systems | AIRCC | 0975-5985 | ||
c | International Journal of Knowledge Management | IGI Global | 1548-0666 | |
International Journal of Technology Management | 1.160 | Inderscience | 0267-5730 | |
c | Information and Management | 10.32 | Elsevier | 0378-7206 |
International Journal of Information Management | 18.95 | Elsevier | 0268-4012 | |
ACM Transactions on Privacy and Security | 1.974 | ACM | 2471-2566 |
Full Name | Impact Factor | Publisher |
---|---|---|
International Journal of Network Management | 1.231 | Wiley-Blackwell |
Journal of Database Management | 2.121 | IGI Global |
ACM Transactions on Management Information Systems | ACM | |
Journal of Management Information Systems | 2.662 | Myron E. Sharpe |
International Journal of Database Management Systems | AIRCC | |
International Journal of Knowledge Management | IGI Global | |
International Journal of Technology Management | 1.160 | Inderscience |
Information and Management | 10.32 | Elsevier |
International Journal of Information Management | 18.95 | Elsevier |
ACM Transactions on Privacy and Security | 1.974 | ACM |
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