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۰۱ تیر - ۰۶ تیر ۱۴۰۴

رتبه: A* (CORE2023)Offline

ACM Special Interest Group on Management of Data Conference

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نمای کلی

The ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD/PODS) will be held in Berlin, Germany, from June 22-27, 2025. It is a leading international forum for data management research, bringing together researchers, practitioners, developers, and users to explore cutting-edge ideas and results. The conference features a technical program with research and industrial talks, tutorials, demos, workshops, a poster session, an industrial exhibition, and a careers-in-industry panel. SIGMOD 2025 emphasizes reproducibility, inclusion, and diversity, with a double-anonymous reviewing process for research papers.

فراخوان مقالات

SIGMOD 2025 Call for Research Papers

The ACM SIGMOD/PODS International Conference on Management of Data will be held in Berlin, Germany, from June 22-27, 2025. This conference is a premier international forum for exploring cutting-edge ideas and results in data management research, facilitating the exchange of techniques, tools, and experiences among researchers, practitioners, developers, and users.

Major Changes from Prior Years

  • 1 Year Wait: Rejected papers cannot be submitted to SIGMOD until a full year has passed.
  • ORCIDs: ORCIDs are required for all authors at the time of abstract submission.
  • Abstract, COIs and Paper Submission Dates: Abstracts and COIs are submitted a week ahead of the main paper submission.
  • No Special Tracks: Previous data-intensive and data science applications tracks are now folded into the main research track.
  • No Author Feedback Phase: There will be no author feedback phase this year.
  • Shepherding: Accepted papers may have revision requirements; a shepherd will assist authors.
  • Posters and Random Selection for Presentation: Every accepted paper will have a poster presentation slot. Speaking slots will be allocated via random sampling among accepted papers.

Topics

We invite submissions in the following areas:

Data Management Systems

  • Benchmarking, monitoring, testing, and tuning database systems
  • Cloud, distributed, decentralized and parallel data management
  • Database systems on emerging hardware
  • Embedded databases, IoT and Sensor networks
  • Storage, indexing, and physical database design
  • Query processing and optimization
  • Transaction processing
  • Data warehousing, OLAP, Analytics

Models and Languages

  • Data models and semantics
  • Declarative programming languages and optimization
  • Spatial and temporal data management
  • Graphs, social networks, web data, and semantic web
  • Multimedia and information retrieval
  • Uncertain, probabilistic, and approximate databases
  • Streams and complex event processing

Human-Centric Data Management

  • Data exploration, visualization, query languages, and user interfaces
  • Crowdsourced and collaborative data management
  • User-centric and human-in-the-loop data management
  • Natural language processing for databases

Data Governance

  • Data provenance and workflows
  • Data integration, information extraction, and schema matching
  • Data quality, data cleaning
  • Data security, privacy, and access control
  • Responsible data management and data fairness
  • Metadata Management

Modern AI & Data Management

  • Structured queries over unstructured data: images, video, natural language, etc.
  • Natural language queries
  • Machine learning methods for database engine internals
  • Machine learning methods for database tuning
  • Data management and metadata for machine learning pipelines
  • Knowledge base management
  • Data mining
  • Prescriptive Analytics

Data-Driven Applications

  • Data-intensive (DI) applications
  • Data Science (DS) pipelines
    • Note that submissions in this topic should focus on data life cycle and pipelines in DS applications OR novel data management in DI fields outside our core (e.g., graphics, networking, astronomy).
    • Detail deployed solutions for DS or DI applications.
    • Share real-world experiences.
    • Provide access to systems, datasets, query logs, benchmarks.
    • Describe the impact of the contribution on future research.

Dates

All deadlines are 11:59 PM AoE.

Round 1

  • Abstract Submission and Declaration of COIs: Weds, Jan 10, 2024
  • Paper Submission: Weds, Jan 17, 2024
  • Notification of Accept/Review/Reject: Thurs, Feb 29, 2024
  • Submission of Revision Plan: Thurs, Mar 7, 2024
  • Revision Feedback: Thurs, Mar 21, 2024
  • Final Notification: Thurs, May 2, 2024

Round 2

  • Abstract Submission and Declaration of COIs: Weds, Apr 10, 2024
  • Paper Submission: Weds, Apr 17, 2024
  • Notification of Accept/Review/Reject: Thurs, May 30, 2024
  • Submission of Revision Plan: Thurs, Jun 6, 2024
  • Revision Feedback: Thurs, Jun 20, 2024
  • Final Notification: Thurs, Aug 1, 2024

Round 3

  • Abstract Submission and Declaration of COIs: Weds, Jul 10, 2024
  • Paper Submission: Weds, Jul 17, 2024
  • Notification of Accept/Review/Reject: Thurs, Aug 29, 2024
  • Submission of Revision Plan: Thurs, Sep 5, 2024
  • Revision Feedback: Thurs, Sep 19, 2024
  • Final Notification: Thurs, Oct 31, 2024

Round 4

  • Abstract Submission and Declaration of COIs: Thurs, Oct 10, 2024
  • Paper Submission: Thurs, Oct 17, 2024
  • Notification of Accept/Review/Reject: Thurs, Nov 28, 2024
  • Submission of Revision Plan: Thurs, Dec 5, 2024
  • Revision Feedback: Thurs, Dec 19, 2024
  • Final Notification: Thurs, Jan 30, 2025

Industry Paper Submission

  • Paper Submission: Mon, Dec 9, 2024
  • Notification of Accept/Reject: Mon, Feb 24, 2025

PODS Deadlines

First Submission Cycle

  • Abstract deadline: May 31, 2024
  • Full paper submission deadline: June 7, 2024
  • Rebuttal: July 29 - August 1, 2024
  • Initial notification: August 12, 2024
  • Revision submission: August 26, 2024
  • Final notification: September 2, 2024

Second Submission Cycle

  • Abstract deadline: December 2, 2024
  • Full paper submission deadline: December 9, 2024
  • Rebuttal: February 3-7, 2025
  • Initial notification: February 14, 2025
  • Revision submission: February 28, 2025
  • Final notification: March 7, 2025

Review Process

  • Each submission will receive three reviews.
  • There will be no author feedback phase this year.
  • All papers will receive an initial Accept or Reject decision upon completion of reviews.
  • Accepted papers may be assigned a shepherd to guide authors through revisions.

Submission Guidelines

  • Submission Link: https://cmt3.research.microsoft.com/SIGMOD2025
  • Submission Paper length: 12 pages excluding references.
  • Appendix: No Appendix.
  • Camera Ready Paper length: 13 pages excluding references, no appendix.
  • File type and size: PDF (<= 10 MB).
  • Paper size: Letter (8.5” x 11”).
  • Format: 2-column ACM Proceedings format (Latex: sample-sigconf.tex, Word: Interim layout.docx, Overleaf: ACM’s official 2-column template).
  • Anonymity: Double-anonymity is required. Authors' names, affiliations, funding sources, acknowledgements, and file names must not reveal author identity.

Declaring Conflicts of Interest (COI)

  • Each author must enter their ORCID, own individual domain, and PC conflicts on CMT.
  • Conflicts must be declared prior to paper submission.
  • It is the responsibility of all authors to identify all and only their potential conflict-of-interest PC members.

Duplicate Submissions and Novelty Requirement

  • Papers submitted to SIGMOD 2025 cannot be under review for any other forum simultaneously.
  • Submissions must present substantial novel research not described in any prior publication.
  • Violation of this policy will result in immediate rejection.

Policy on Research Involving Human Participants and Subjects

Authors are subject to all ACM Publications Policies, including the policy on Research Involving Human Participants and Subjects.

Inclusion and Diversity in Writing

Authors are encouraged to use inclusive language and avoid exclusionary examples. Reviewers will monitor and demand changes if issues arise.

Policy on Authorship Requirements

  • Generative AI tools cannot be listed as authors. Their use must be fully disclosed in the paper.

Anonymity Requirements

  • Authors' names and affiliations must not appear on the title page or elsewhere in the submission.
  • Funding sources must not be acknowledged.
  • Research group members, or other colleagues or collaborators, must not be acknowledged.
  • The paper’s file name must not identify the authors.
  • Avoid self-references that reveal identity. Reference past work in the third person.
  • Do not publicize or upload versions of submitted manuscripts to pre-publication servers during the reviewing period.

Artifacts and Reproducibility

SIGMOD strives to encourage the sharing of research artifacts (data, results, code, and scripts).

  • While not mandatory for acceptance, providing materials can help reviewers evaluate work more thoroughly.
  • Papers with successfully reproduced artifacts will be recognized in the ACM Digital Library.
  • Links to materials should preserve anonymity (e.g., anonymous GitHub repository).
  • Materials should be live within one week of submission.

تاریخ‌های مهم

تاریخ‌های کنفرانس

Conference Date

۱ تیر ۱۴۰۴۶ تیر ۱۴۰۴

ارسال مقاله

Abstract Submission and Declaration of COIs (Round 1)

۲۰ دی ۱۴۰۲

Paper Submission (Round 1)

۲۷ دی ۱۴۰۲

Abstract Submission and Declaration of COIs (Round 2)

۲۲ فروردین ۱۴۰۳

اعلان

Notification of Accept/Review/Reject (Round 1)

۱۰ اسفند ۱۴۰۲

Revision Feedback (Round 1)

۲ فروردین ۱۴۰۳

Final Notification (Round 1)

۱۳ اردیبهشت ۱۴۰۳

تاریخ‌های دیگر

Submission of Revision Plan (Round 1)

۱۷ اسفند ۱۴۰۲

Submission of Revision Plan (Round 2)

۱۷ خرداد ۱۴۰۳

Rebuttal (PODS FIRST SUBMISSION CYCLE)

۸ مرداد ۱۴۰۳۱۱ مرداد ۱۴۰۳

رتبه منبع

منبع: CORE2023

رتبه: A*

حوزه پژوهشی: Data management and data science

منبع: CORE2021

رتبه: A*

حوزه پژوهشی: Data management and data science

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