Pre-Registration

关于

Empowers researchers to adopt open science standards by automating the creation of comprehensive pre-registration plans before data collection begins. This skill guides users through documenting critical study elements—including hypotheses, power analyses, blinding protocols, and statistical analysis plans—to ensure reproducibility and mitigate bias. It supports alignment with major platforms like OSF and AsPredicted, making it an essential tool for formalizing research methodology and meeting rigorous grant or publication requirements.

主要功能

• Detailed hypothesis tracking for primary, secondary, and exploratory questions
• Comprehensive analysis plan drafting to pre-specify statistical tests and outlier treatment
• 2 GitHub stars
• Standardized study design templates for observational and experimental research
• Power analysis and sampling strategy documentation to justify sample sizes
• Guidance for meeting open science standards on platforms like OSF and ClinicalTrials.gov

使用场景

• Preparing documentation before starting data collection to prevent analytical bias
• Fulfilling transparency requirements for research grant submissions
• Creating formal study protocols for submission to the Open Science Framework (OSF)