EDBT Supplementary

SkillDatabases & data

Use when deciding what belongs in an EDBT paper body versus its artifact and appendices, covering the per-shape page budget with unlimited references, the rule that decision-critical evidence stays inside the reviewed pages, and how to split a database-systems paper between body and reproducible package.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the EDBT Supplementary skill

What this skill tells your AI

The instructions your AI receives, as published by brycewang-stanford/awesome-journal-skills in EDBT-Skills/skills/edbt-supplementary/SKILL.md and read by ahel’s review.

Use this when assembling EDBT supplementary material. The governing rule is simple and strict: the paper must be judgeable from the reviewed pages alone. The artifact and any appendix support the paper; they do not hold the argument. Reviewers open the artifact at their discretion, so anything the decision depends on lives in the body.

What goes where

ContentBody (within page budget)Artifact / appendix
The problem, contribution, and what it enablesYes—
Core mechanism / system designYesFull parameter grids, extra configs
The headline results and the scope/overheadYesFull result tables, secondary sweeps
The evaluation setup a claim depends onNamed in the bodyThe complete harness and logs
Workload / dataset summary + derivationSummary + criterionThe full derivation scripts and data
Raw logs, build scripts, containers—Yes
Reproduction instructionsA pointerThe README and run scripts

If a reviewer would need to open the artifact to know whether to accept, the paper is mis-partitioned — move that evidence into the body.

The page-budget discipline (per shape)

EDBT's budget depends on the paper shape (EDBT 2022 CFP; reverify per cycle): Regular and Experiments & Analysis papers ≤12 pages; Vision papers ≤6; references are unlimited and do not count. Consequences:

  • References do not eat your budget — cite generously; the constraint is body text, figures, tables, and in-body appendices.
  • Keep the headline result tables and the scope/overhead discussion in the body — they are decision-critical.
  • Long parameter sweeps, per-configuration breakdowns, and full harness output go to the artifact with explicit forward references.
  • Do not use the artifact to smuggle in a result that would not fit — an argument that only closes with material outside the reviewed pages reads as unreviewable.

Reproducibility-forward supplementary rules

[Runnable]     the artifact builds and runs from its README on a clean machine; a demo run succeeds
[Provenance]   dataset versions, workload derivation, engine build/commit, and seeds are pinned
[Consistency]  every body number traces to a script in the package
[Clean archive] no stray credentials, caches, or huge irrelevant files; (if double-blind) no
                identity strings, owner paths, or cluster names
[Opens clean]  verify the archive unpacks and the README orients a reader in one minute

Appendix architecture (when the template allows in-body appendices)

  • Order appendix sections to mirror the evaluation's structure; reviewers navigate by result, not page number.
  • Keep each appendix section referenced from the body at least once — orphaned material is invisible under discretionary review.
  • Confirm on the current call whether in-body appendices count against the page budget (they usually do) versus supplementary material attached separately; this changes the split.

Vignette: splitting a distributed-systems paper

A paper contributing a query-processing operator and its evaluation: the body keeps the problem, the mechanism, the headline latency/scalability results with variance, the overhead-on-skew-free case, and a scope subsection; the artifact holds the container/build recipe, the workload-derivation scripts with pinned dataset versions, the full parameter sweeps, the raw logs, and the analysis notebooks. Nothing decision-critical lives only in the artifact, because artifact inspection is discretionary and the reviewers judge from the pages.

Output format

[Supplement status] ready / needs fixes / not ready
[Shape + budget] Regular | Experiments-&-Analysis | Vision — body within limit?
[Partition check] anything decision-critical outside the body? <none / move: what>
[Reproducibility] artifact runnable + provenance pinned + consistent with paper? yes/no
[Clean archive] (if double-blind) identity-free; no stray files? passed/issues
[Body dependency] <what a reviewer can decide without opening the artifact>

Signals

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Item type
skill
Key
edbt-supplementary
Source
github.com/brycewang-stanford/awesome-journal-skills