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CPS Data Transparency & Replication

brycewang-stanfordbybrycewang-stanford
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1.1k
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Aprendizaje y Documentación

Prepares replication packages, data availability statements, and DA-RT transparency documentation for Comparative Political Studies (CPS) submissions.

CPS Data Transparency & Replication guides academic authors through the rigorous replication and data transparency requirements of Comparative Political Studies (CPS). It ensures quantitative manuscripts meet final acceptance criteria by structuring complete replication packages for the CPS Harvard Dataverse, including master scripts, environment pinning, seed setting, and comprehensive README files. It also helps multi-method and qualitative researchers uphold DA-RT standards with auditable evidence tables and assists in drafting compliant data availability statements, pre-analysis plans, and ethical access protocols for proprietary or sensitive data.

Características Principales

01Drafts compliant Data Availability Statements for public, proprietary, and restricted datasets
021,074 GitHub stars
03Structures Harvard Dataverse replication packages with master scripts and dependency pinning
04Guides ethical handling of proprietary data, human subjects, and pre-analysis plans
05Provides build-as-you-go reproducibility checklists to prevent acceptance delays
06Implements qualitative and multi-method DA-RT transparency protocols and evidence mapping

Casos de Uso

01Standardizing qualitative evidence tables and interview citations according to DA-RT guidelines
02Assembling a verified replication archive before final acceptance at Comparative Political Studies
03Drafting nuanced data availability statements for proprietary or sensitive administrative data