Which research platforms is this skill compatible with?

It generates content suitable for the Open Science Framework (OSF), AsPredicted.org, and ClinicalTrials.gov.

What is the primary goal of the Pre-Registration skill?

The goal is to document research plans and hypotheses before data collection to ensure transparency and prevent bias or post-hoc theorizing.

How does this prevent HARKing?

By forcing the pre-specification of hypotheses and analysis plans, it ensures that researchers do not change their predictions after seeing the results.

Does this skill help with statistical planning?

Yes, it includes sections for defining primary statistical tests, handling missing data, outlier treatment, and power analysis.

Can I use this for grant applications?

Absolutely. It helps produce high-quality study descriptions that demonstrate methodological rigor to funding agencies.

Research Pre-Registration

Name: Research Pre-Registration
Author: astoreyai

byastoreyai

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Data Science & ML

Automates the creation of comprehensive pre-registration documents to ensure research transparency and prevent questionable scientific practices.

About

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

Detailed statistical analysis plan (SAP) generation
Standardized templates for OSF and AsPredicted compatibility
Timeline and recruitment workflow tracking
Power analysis and sampling strategy documentation
Structured hypothesis and variable mapping
2 GitHub stars

Use Cases

Drafting formal pre-registration documents prior to data collection
Strengthening grant applications with rigorous methodological documentation
Standardizing open science practices across collaborative research teams

About

Key Features

Detailed statistical analysis plan (SAP) generation
Standardized templates for OSF and AsPredicted compatibility
Timeline and recruitment workflow tracking
Power analysis and sampling strategy documentation
Structured hypothesis and variable mapping
2 GitHub stars

Use Cases

Drafting formal pre-registration documents prior to data collection
Strengthening grant applications with rigorous methodological documentation
Standardizing open science practices across collaborative research teams