The Research Pre-Registration skill assists researchers and data scientists in documenting their study designs, hypotheses, and analysis plans before data collection begins. By guiding users through structured components like power analysis, randomization details, and statistical treatments, it ensures compliance with open science standards and helps prevent HARKing (Hypothesizing After Results are Known). This skill is essential for maintaining scientific integrity, preparing for grant submissions, and creating documentation compatible with platforms like OSF, AsPredicted, and ClinicalTrials.gov.
Key Features
01Detailed statistical analysis plan (SAP) generation
02Standardized templates for OSF and AsPredicted compatibility
03Timeline and recruitment workflow tracking
04Power analysis and sampling strategy documentation
05Structured hypothesis and variable mapping
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