agentsclimarketplace

Poq transparency and data policy

Skill brycewang-stanford/Awesome-Journal-Skills/Public-Opinion-Quarterly-Skills/skills/poq-transparency-and-data-policy

Use when preparing the transparency materials for a Public Opinion Quarterly (POQ) manuscript — the AAPOR-standard "Appendix A: Disclosure Elements", the replication package deposited to POQ's Harvard Dataverse, and the Data Availability Statement. POQ requires materials that reproduce exactly all published tables and figures, archived before typesetting. Prepares the materials; it does not waive requirements.From its SKILL.md

Install
npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill poq-transparency-and-data-policy

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

4.9 KB, ~1.0k tokens by cl100k_base, as published. Nobody here has run it

Transparency & Data Policy (poq-transparency-and-data-policy)

POQ has two transparency demands that distinguish it from generic social-science venues: AAPOR-standard methodological disclosure of every survey, and a replication package that reproduces exactly all published tables and figures, archived in POQ's Dataverse before the paper advances to typesetting. Build both as you go so acceptance does not stall.

When to trigger

  • Assembling Appendix A: Disclosure Elements for every dataset reported
  • Building the replication/reproduction package for POQ's Dataverse
  • A manuscript was accepted and the office requested materials before typesetting
  • Data cannot be fully shared (privacy, ethics, provider restrictions) and you need the exemption path

AAPOR disclosure — Appendix A: Disclosure Elements

POQ requires manuscripts to disclose these elements for all data reported (if applicable) or link to publicly available / published documentation, gathered in an "Appendix A: Disclosure Elements":

  1. Funding — who sponsored the data collection.
  2. Exact question wording of all survey questions used.
  3. Population under study — a clear description.
  4. Sample design — frame, selection, stratification, clustering.
  5. Method and dates of data collection — mode(s) and field period.
  6. Response rate and how it was calculated — per AAPOR Standard Definitions (state RR1–RR6 and show the disposition-code computation).
  7. Sample sizes and a discussion of the precision of the findings.
  8. Design effect due to clustering and weighting — discuss the adjustment.

For secondary data, link to the public documentation rather than reproducing it.

Replication package — POQ Dataverse (Harvard)

  1. Deposit to POQ's Dataverse on Harvard Dataverse (the journal's permanent archive with persistent identifiers) — not a personal website or generic cloud link.
  2. Reproduce exactly all published tables and figures: data + code + documentation sufficient to regenerate every reported result. Master script + README + pinned versions + seeds.
  3. Archived before typesetting — accepted manuscripts do not advance until materials are in place.
  4. Data Availability Statement (DAS) in the article's endmatter describing where/how to access the data.

When data cannot be shared (exemption path)

  • Explain why the data are restricted (privacy, ethics, provider/legal limits).
  • Provide README instructions on exactly how others can obtain the data (access process, contact).
  • Where possible, provide synthetic data so the code can be run.
  • A twelve-month embargo from the article's appearance may be requested (confirm current terms — 待核实).

Build-as-you-go checklist

  • Appendix A drafted with all eight disclosure elements (or links) for every dataset
  • Response rate stated with AAPOR definition + calculation
  • One master script regenerates every table and figure
  • README + provenance + seeds + pinned versions
  • Exhibit numbers in the manuscript match package output exactly
  • Data Availability Statement drafted for the endmatter
  • Restricted data: exemption note + access path + synthetic data + embargo request if needed

Anti-patterns

  • A response rate with no AAPOR definition or calculation (an Appendix A failure)
  • Treating the deposit as a post-publication afterthought (it gates typesetting)
  • Code that does not actually reproduce the printed tables/figures
  • A personal URL instead of POQ's Dataverse
  • Claiming data are restricted without an access path or synthetic substitute

Output format

【Appendix A】all 8 disclosure elements present (or linked)? [Y/N]
【Response rate】AAPOR definition + calculation shown? [Y/N]
【Repository】POQ Dataverse (Harvard) — package staged? [Y/N]
【Reproduces tables/figures?】master script verified locally? [Y/N]
【Documentation】README + provenance + seeds + pinned versions? [Y/N]
【DAS】drafted for endmatter? [Y/N]
【Restricted data?】exemption + access path + synthetic + embargo?
【Next】poq-review-process

Supplementary resources

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.