Open Science Checklist

What it does

Walks you through every open science practice that journals, funders, and replication projects now expect.

Practices covered

Pre-study

• Preregistration (OSF, AsPredicted, Registered Reports)
• Power analysis and stopping rules
• Hypotheses vs. exploratory analyses distinction

Data & Materials

• FAIR data principles (Findable, Accessible, Interoperable, Reusable)
• Data management plan writing
• OSF project structure and README templates
• Codebook generation prompts

Analysis

• Reproducible analysis (R Markdown / Quarto notebooks)
• Analysis script documentation
• Handling of researcher degrees of freedom

Reporting

• CONSORT / STROBE / PRISMA checklist prompts
• Effect size and CI reporting
• Null result framing

Sharing

• Data anonymization checklist
• Preprint submission guidance (PsyArXiv)
• Open access pathway navigator

Output

A project-specific checklist you can include in your lab manual or grant application.