Skill UI

A detailed guide on the complex, hybrid review process for ACM SIGMETRICS submissions. It outlines the implications of the three distinct first-round outcomes (Accept, One-Shot Revision, Reject), the highly rigorous evaluation criteria (proofs, models, assumptions), and crucial procedural rules, such as the single-shot revision window and the 12-month resubmission bar. Essential reading for authors navigating academic publication.

This skill provides a comprehensive project management framework for submitting research papers to SIGMETRICS. It guides users through the complex, multi-stage process, including evidence lock, abstract registration, handling rolling deadlines, one-shot revisions, and final publication preparation. It emphasizes backward planning heuristics and mitigating common academic failure modes.

A comprehensive guide for researchers preparing their academic artifacts (code, data, results) for the SIGMOD Availability & Reproducibility Initiative (ARI). This document details the criteria for achieving reproducibility badges (Available, Evaluated, Results Reproduced), focusing on coverage, ease of reproduction, flexibility, and portability. It provides best practices for structuring artifact repositories and ensuring hardware honesty for verifiable research claims.

Provides detailed strategies for authors responding to peer reviews in top-tier academic conferences like SIGMOD. It covers the distinct rules for the mid-round feedback phase and the formal revision letter, emphasizing structured responses, mandatory change highlighting, maintaining anonymity, and strategic content budgeting.

This comprehensive guide outlines best practices for designing data systems evaluations, ensuring results are robust, reproducible, and convincing to expert reviewers. It covers workload realism, baseline fairness, necessary ablation studies, and advanced metric visualization techniques (e.g., sweeping curves, failure analysis) required for top-tier data systems research.

A comprehensive guide for authors submitting to top-tier database conferences (like SIGMOD) on how to position their research. It covers deep-history diligence, managing concurrent work, and structuring the related-work section using contrast-form writing to establish clear novelty claims against multiple literature lines, including industrial systems and theoretical boundaries.

This guide provides an in-depth breakdown of the academic research paper review cycle, using top-tier database conferences (like SIGMOD) as a case study. It covers the double-anonymous review process, the author feedback phase, interpreting the Accept/Reject/Revise verdicts, and navigating the post-decision revision window and embargo rules. Essential knowledge for authors preparing submissions to top-tier conference proceedings.

This guide provides a comprehensive workflow for managing complex, multi-year academic research projects targeting large, multi-round conferences (like SIGMOD). It details the five-act publication cycle, strategies for round selection under embargo periods, backward planning from paper cutoffs, and essential team coordination practices for sustained research development.

A comprehensive guide for structuring and refining high-quality database systems research papers for top-tier conferences like SIGMOD. It covers essential components such as establishing a clear page-one contract, integrating running examples, scoping measured system claims, adopting third-person voice, and adhering to the 12-page ACM template structure for maximum technical impact.

This guide teaches researchers how to move beyond basic literature reviews by positioning their work within a specific, ongoing scholarly debate. It provides a framework to identify the core scholarly 'conversation,' pinpoint the theoretical gap (mechanism or tension), and articulate a novel move that advances the field's understanding, crucial for high-impact academic journal submissions.

This guide outlines the best practices for preparing system artifacts for academic evaluation, following the ACM Artifact Review and Badging scheme. It details how authors must ensure reproducibility, especially for tail latency and cost results, by providing scaled-down testbeds, comprehensive documentation, and clear provenance tracking to satisfy conference evaluators.

This comprehensive guide outlines the mandatory steps for transforming an accepted, anonymized academic paper into the final ACM Digital Library Camera-Ready format. It covers de-anonymization, adhering to ACM metadata standards (DOI, ORCID, CCS concepts), integrating reviewer feedback, and ensuring permanent reproducibility of code and traces.