pubar-transparency-and-data
Use when preparing the transparency / reproducibility materials for a Public Administration Review (PAR) manuscript. PAR is a signatory of the Center for Open Science TOP Guidelines and has adopted transparency standards (data citation, data sharing via Dataverse/QDR, reporting documentation, pre-registration). Covers quantitative and qualitative transparency and the restricted-data path. Prepares the package; it does not waive requirements.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pubar-transparency-and-data --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Transparency & Data Policy (pubar-transparency-and-data) PAR **endorses the Center for Open Science's Transparency and Openness Promotion (TOP) Guidelines** and has adopted transparency standards for authors (检索于 2026-06；以官网为准). Build the materials as you go so a transparency request at review or acceptance does not stall the paper. ## When to trigger - Building the reproducibility / transparency materials and the data-availability statement - A reviewer or editor requested data, code, or documentation - Data cannot be fully shared (privacy, FOIA limits, agency restrictions, IRB) and you need the path - Deciding whether to pursue **pre-registration** badges ## What PAR's TOP standards cover (verify current wording) 1. **Data & materials citation.** Cite all research materials and data sources used, with persistent identifiers where available — treat data as a citable research output. 2. **Data sharing.** PAR encourages depositing data in an appropriate repository — **Dataverse** for quantitative data, the **Qualitative Data Repository (QDR)** for qualitative data — with a data-availability statement in the manuscript. 3. **Reporting documentation.** PAR recommends documenting res
- When to trigger
- What PAR's TOP standards cover (verify current wording)
- Build-as-you-go checklist
- Transparency package by evidence type
- Restricted-data decision tree
- When data cannot be shared (restricted-data path)
- Reproducibility smoke test
- Anti-patterns
- Output format
- Supplementary resources
What does the pubar-transparency-and-data skill do?
Use when preparing the transparency / reproducibility materials for a Public Administration Review (PAR) manuscript. PAR is a signatory of the Center for Open Science TOP Guidelines and has adopted transparency standards (data citation, data sharing via Dataverse/QDR, reporting documentation, pre-registration). Covers quantitative and qualitative transparency and the restricted-data path. Prepares the package; it does not waive requirements.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pubar-transparency-and-data --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.