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JAP Open Science and Transparency

brycewang-stanfordbybrycewang-stanford
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Learning & Documentation

Prepares research submissions for Journal of Applied Psychology by verifying TOP compliance, data-availability statements, and preregistrations.

Ensures empirical manuscripts meet the rigorous Transparency and Openness Promotion (TOP) guidelines required by the Journal of Applied Psychology (JAP). This skill guides researchers through structuring data, study materials, and code repositories with persistent DOIs, drafting comprehensive data-transparency statements, properly documenting exemptions for proprietary or sensitive organizational data, and formatting anonymized preregistrations for masked peer review.

Key Features

01Provides guidance on structured exemptions for proprietary or sensitive organizational datasets
02Structures prior-use and dataset overlap disclosures across multiple published manuscripts
03Audits analysis code reproducibility requirements and preregistration alignment
04Drafts standard-compliant data, code, and materials availability statements for JAP
05Ensures correct masked review formatting with anonymized repository links and DOIs
061,079 GitHub stars

Use Cases

01Formulating valid ethical or proprietary exemptions for sensitive organizational field data
02Anonymizing OSF/Zenodo repository links and preregistrations for masked peer review
03Drafting a data and code availability statement for a Journal of Applied Psychology submission