연결

CSJ Artifact Evaluation & Data Availability

brycewang-stanfordbybrycewang-stanford
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학습 및 문서화

Guides authors in preparing code, data availability statements, and reproducible artifacts for Computer Science (JSJKX) journal submissions.

Streamlines the preparation of code, dataset packaging, and availability statements specifically tailored for the Chinese core journal Computer Science (《计算机科学》, JSJKX). While distinguishing the journal's single-blind review format from conference artifact badging systems, this skill helps researchers build reproducible repository structures, craft compliant availability statements, manage licensing and checksum verification, and conduct maturity self-assessments to maximize peer review credibility and publication impact.

주요 기능

01Persistent data linking protocols with Zenodo DOIs and SHA256 checksums
02Reproducibility maturity level self-assessment framework (L0 to L4)
03Pre-submission artifact checklist ensuring data privacy and script reliability
04Single-blind review repository structure and licensing guidelines
051,074 GitHub stars
06Standardized code and data availability statement templates

사용 사례

01Structuring reproducible code repositories with one-click reproduction scripts
02Drafting transparent code and data availability statements for JSJKX submissions
03Auditing research artifact maturity and data compliance before peer review