Use when targeting ACM SIGMOD International Conference on Management of Data (SIGMOD) or deciding whether a computer-science manuscript fits this venue. Encodes conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk-reject risks for database flagship.
Scanned 9/12/2026
Install to Claude Code
npx -y skills add thedixitjain/the-mega-skill-library --skill acm-sigmod-international-conference-on-management-of-data --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Acm Sigmod International Conference On Management Of Data?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/thedixitjain-acm-sigmod-international-conference-on-management)More formats (shields.io, HTML) on the badges page.
---
name: acm-sigmod-international-conference-on-management-of-data
description: "Use when targeting ACM SIGMOD International Conference on Management of Data (SIGMOD) or deciding whether a computer-science manuscript fits this venue. Encodes conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk-reject risks for database flagship."
category: backend-and-data
source_repo: brycewang-stanford/Awesome-Journal-Skills
source_path: "Computer-Science-Conference-Skills/skills/acm-sigmod-international-conference-on-management-of-data/SKILL.md"
source_url: https://github.com/brycewang-stanford/Awesome-Journal-Skills/blob/HEAD/Computer-Science-Conference-Skills/skills/acm-sigmod-international-conference-on-management-of-data/SKILL.md
---
# ACM SIGMOD International Conference on Management of Data (SIGMOD)
## Conference positioning
ACM SIGMOD International Conference on Management of Data (SIGMOD) is a top computer-science conference venue for database systems, query processing, data management, transactions, data lakes, and ML for data systems. It rewards a data-management paper with strong systems or algorithmic contribution and realistic workloads. Treat this skill as a **fit / venue-selection / re-framing** tool for conference submission strategy, not as a substitute for the current year's CFP, author kit, ethics policy, or submission portal.
Because CS conferences change deadlines, templates, page limits, review workflow, artifact rules, AI-use policy, and rebuttal formats every cycle, always verify the live official instructions before making a submission-ready recommendation. Start from the official source anchor recorded for this venue in `../../resources/conference-roster.md` and `../../resources/official-source-map.md`.
## When to trigger
- The author names SIGMOD / ACM SIGMOD International Conference on Management of Data as the target venue.
- A manuscript in database systems needs a conference-fit read before being formatted or submitted.
- The paper must be re-framed from journal style or arXiv style into a selective CS conference narrative.
- The author needs an evidence-gap, anonymity, artifact, rebuttal, or re-routing diagnosis for this venue.
## Scope & topic fit
- Core fit: database systems, query processing, data management, transactions, data lakes, and ML for data systems.
- Best submissions make a precise contribution type visible: algorithm, theorem, system, dataset, benchmark, empirical finding, design artifact, tool, or socio-technical analysis.
- The paper should explain why the result matters to SIGMOD's reviewers, not just why it is interesting to the authors' lab or product context.
- Position related work against the most recent conference-cycle papers in this venue and its closest siblings; stale comparisons are a common early-review weakness.
- If the contribution is interdisciplinary, state which part is CS research and which part is domain evidence.
## Venue-specific calibration
- Reviewer lens: Read reviewers as data-management specialists. Query processing, transactions, storage, workload realism, and system architecture must be clear.
- Contribution hook to foreground: the venue-specific contribution bar.
- Scope vocabulary to use naturally in the abstract and introduction: database systems, query processing, data management, transactions, data lakes, and ML for data systems.
- Distinctive fingerprint for reviewer calibration: database, query, processing, data, management, transactions, lakes, venue-specific, contribution, flagship, sigmod.
- Official anchor domain: sigmod.org. Quote annual rules only after opening that source and the current-year CFP/author kit.
## Close-neighbor routing guardrail
- Route to SIGMOD when the contribution is database systems, query processing, data management,
transactions, indexing, or large-scale data infrastructure with systems evidence.
- Do not route generic data-mining or ML papers here. Compare VLDB/PVLDB for database research
with its own submission mechanics and ICDE for data-engineering scope.
## What distinguishes this venue from its closest siblings
- **What SIGMOD is.** The **ACM SIGMOD** flagship for **data management systems** — query processing, storage, transactions, and systems.
- **vs VLDB.** VLDB publishes continuously via **PVLDB (Proceedings of the VLDB Endowment)** with a rolling model; SIGMOD has a conference-cycle deadline. Same field, different submission machinery.
- **Routing.** Both are top DB venues; pick by submission model/cycle, and send theory to PODS, data mining to KDD/ICDM.
## SIGMOD-specific routing detail
- Prefer SIGMOD when the paper is flagship data-management research: query processing, transactions, storage engines, data integration, systems, analytics, or database theory with systems relevance.
- Route VLDB when the cycle/community fit is better, ICDE for broader data engineering, and KDD/ICDM for mining methods rather than database-system contributions.
- SIGMOD evidence should show database architecture, workload realism, scalability, correctness/consistency properties, and comparison to mature data-management systems.
## Method & evidence bar
- For systems/data papers, use realistic workloads, data sizes, and baselines; for theory papers, give exact statements and complete proofs.
- Explain the data model, assumptions, complexity, and implementation details at the level reviewers can audit.
- Connect the result to a durable database, algorithmic, or theoretical problem rather than a one-off benchmark.
- For SIGMOD, the evidence must support the venue-specific signature: a data-management paper with strong systems or algorithmic contribution and realistic workloads.
- Include limitations, negative results, compute/resource reporting, data provenance, and ethics details when they affect the claim.
## Structure & house style
- Lead with the formal or systems problem and the new capability the paper creates.
- Use figures or examples to make the model clear before dense proof or system detail.
- Use the current official template exactly; do not guess page limits, font sizes, supplement rules, anonymity exceptions, or camera-ready requirements from old cycles.
- The introduction should answer: problem, why now, what is new, why this venue, and what evidence proves the claim.
- Put the strongest result in the main paper, not only in the appendix or supplement; reviewers should not have to reconstruct the contribution.
## Official-cycle checklist
- Open the live official venue page: https://sigmod.org/
- Re-check the current cycle's CFP, author kit, submission system, abstract/paper deadlines, page limits, supplementary-material rules, anonymity policy, dual-submission policy, ethics policy, AI-use policy, artifact/code/data expectations, rebuttal/author-response format, and camera-ready requirements.
- Confirm the review workflow and portal: OpenReview / CMT / HotCRP / PCS / START or society portal, as specified for the current cycle.
- Check whether accepted papers require in-person presentation, separate registration, artifact badges, proceedings copyright, or post-acceptance release forms.
- If the live official instructions conflict with this skill, the official instructions win.
## Pre-submission self-check
- [ ] One sentence states why this manuscript belongs at SIGMOD, using the venue's scope rather than generic "top conference" language.
- [ ] The claim is calibrated to the evidence: no broader than the datasets, proofs, systems, user studies, deployments, or threat model support.
- [ ] Related work includes the nearest current-cycle database flagship papers and explains the technical delta.
- [ ] The paper satisfies the current official template, anonymity, ethics, artifact, and rebuttal requirements.
- [ ] The main paper is self-contained enough for reviewers to evaluate novelty and correctness without hunting through external links.
## Common desk-reject triggers
- Benchmark gains with no explanation of why the method generalizes.
- Theory result whose significance is unclear outside a narrow variant.
- Missing implementation details or proof gaps in the central claim.
- Formatting, anonymity, dual-submission, external-link, or supplement violations under the current-year policy.
- A contribution framed for a neighboring field while giving SIGMOD reviewers too little technical or empirical substance.
## Re-routing decision
If the paper misses SIGMOD's bar, compare against `international-conference-on-very-large-data-bases` / `ieee-international-conference-on-data-engineering` / `acm-symposium-on-theory-of-computing` / `ieee-symposium-on-foundations-of-computer-science`. Re-route based on contribution type, not prestige: theory to a theory venue, systems to a systems venue, application-heavy work to a domain venue, and early ideas to workshops or shorter tracks when the official CFP supports them.
## Output format
```text
[Fit] High / Medium / Low (one-line reason)
[Target] ACM SIGMOD International Conference on Management of Data (SIGMOD)
[Contribution type] algorithm / theory / system / dataset / benchmark / empirical / design / security / other
[Main evidence gap] <single most important missing proof, experiment, study, artifact, or policy check>
[Official items to re-check] CFP / author kit / deadline / format / anonymity / ethics / AI-use / artifact / rebuttal / camera-ready
[Top rejection risk] <venue-specific risk>
[Re-route suggestion] <better-matched conference or journal if not a fit>
```
---
**Source:** [`brycewang-stanford/Awesome-Journal-Skills`](https://github.com/brycewang-stanford/Awesome-Journal-Skills) → `Computer-Science-Conference-Skills/skills/acm-sigmod-international-conference-on-management-of-data/SKILL.md`
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!