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POQ Transparency and Data Policy

brycewang-stanfordbybrycewang-stanford
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Aprendizaje y Documentación

Prepares AAPOR-standard disclosure materials, replication packages for Harvard Dataverse, and data availability statements for Public Opinion Quarterly manuscripts.

The POQ Transparency and Data Policy skill streamlines the preparation of mandatory transparency and reproducibility materials required for Public Opinion Quarterly (POQ) submissions. It guides researchers through assembling the 8 AAPOR-standard disclosure elements in Appendix A, packaging complete replication archives for POQ's Harvard Dataverse, formulating standard Data Availability Statements (DAS), and navigating exemption protocols for proprietary or restricted survey data to ensure papers clear reproducibility audits before typesetting.

Características Principales

01Drafts standard-compliant Appendix A survey methodology disclosures covering all 8 AAPOR elements
02Provides exemption workflows, access request protocols, and synthetic data guidance for restricted datasets
03Structures Harvard Dataverse replication packages with master reproduction scripts, seeds, and environment metadata
041,090 GitHub stars
05Calculates and formats AAPOR response rates (RR1-RR6) with disposition code computation
06Generates publication-ready Data Availability Statements (DAS) for manuscript endmatter

Casos de Uso

01Documenting restricted data access pathways and synthetic data replacements when survey data cannot be made public
02Preparing the mandatory AAPOR Appendix A disclosure elements for original or secondary survey data
03Building and validating the complete replication package prior to POQ typesetting and production