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Call for Artifacts

CCGrid 2026 will award three IEEE reproducibility badges to accepted main research track papers:

  1. Open Research Objects (ORO)
  2. Reusable/Research Objects Reviewed (ROR)
  3. Results Reproduced (ROR-R)
Artifact Badges

Artifact evaluation is post-acceptance only and does not influence acceptance decisions. Authors of accepted main research-track papers may request badges by submitting the artifacts and a 2-page description. If successfully reviewed, include the 2-page description and the awarded badge logo in the camera-ready submission.

Hosting software/data on GitHub/GitLab isn’t sufficient; assign a persistent identifier (e.g., via Zenodo, figshare). We recommend repositories like Zenodo, Dryad, or figshare to promote FAIR principles.

Description of Badges

1. Open Research Objects (ORO)

Indicates that author-created digital objects (data/code) are permanently stored in a public repository with a globally unique identifier, guaranteed persistence, and an open license to maximize access. Aligns with ACM “Artifacts Available” and COS “Open Data/Materials” for digital objects.

The AEC and authors decide what objects are “relevant”. Provide enough documentation for reviewers to understand core functionality and data context.

Review criteria

  • Availability: Public repository with global identifier and guaranteed persistence.
  • License: Open license maximizing accessibility (e.g., OSI/CC/public domain).
  • Authorship: Reasonable and complete authorship attached to the archived artifact.
  • Documentation: For software: core functionality overview. For data: context, description, source, and usage in the paper. Metadata accessible for relevant physical objects.

2. Reusable/Research Objects Reviewed (ROR)

Higher-level than ORO; requires ORO. Corresponds to IEEE “Code Reviewed.” All author-created digital objects used in the research (data/software) are reviewed.

Software review criteria

  • Documentation: Statement of need/function, install instructions, usage examples, API docs.
  • Functionality: Reviewers can install and verify core functionality on commodity hardware with step-by-step instructions.
  • Testing: Documented manual checks (e.g., sample input & expected output) and ideally an automated test suite with CI (e.g., GitHub Actions).

Data review criteria

  • Documentation: Dataset context, description, source, and how it’s used in the paper.
  • Functionality: Enable reuse beyond the paper; for proprietary formats, include code to access data programmatically.

3. Results Reproduced (ROR-R)

Highest tier, awarded when evaluators reproduce the paper’s key results using the authors’ objects, methods, code, and analysis conditions. Focus is on reproducing behavior/claims, not exact values (especially with hardware dependence).

Scope

  • Reproduce behavior: Attempt on the same hardware where feasible; otherwise collaborate to establish equivalent behavior on commodity hardware.
  • Reproduce central results: AEC identifies key results/claims; badge is based on reproducing these behaviors.

Additional requirements

  • Paper already qualified for ROR (and thus ORO).
  • Authors assist with materials and clarifications.

Process

  1. Authors submit a comprehensive reproduction plan and research objects.
  2. Independent attempt to reproduce by evaluators.
  3. Author–evaluator collaboration to resolve discrepancies.
  4. Final verification by the AEC; ROR-R badge appears next to ROR in proceedings.

Artifact Preparation & Submission

Authors seeking any badge must submit a 2-page artifact description including a brief artifact overview and review details:

Clearly map each artifact to specific parts of the accepted paper. Cite artifacts with a persistent identifier (e.g., DOI from Zenodo/figshare). Optionally add a development URL (e.g., GitHub). Use the IEEE conference template.

If artifacts pass evaluation, update the 2-page description and include it as an appendix to the camera-ready paper, along with the badge logo. This step is required for publication with a badge.

Timeline

Between author notifications (expected ) and camera-ready deadline.

We will hold a midpoint check-in to catch easy issues early (e.g., missing files/imports).

Submission Notes

Chairs and Contacts

Submission Page Choose “CCGrid2026 Artifacts track.