Resources for Rigorous and Transparent Research

A curated collection of tools, templates, and evidence-based guidance designed to support high-quality study planning, reproducibility, and the publication of null or confirmatory findings

Start with the Resources you need

Explore high-quality tools and reference materials for better study design and reporting

Study Design Templates

Ready-to-use templates for planning confirmatory studies and null findings

Statistical Tools

Calculators and guides that support power analysis and methodological transparency.

Reporting Checklists

Materials to ensure your study meets rigorous reporting and reproducibility standards.

Whitepapers & Best Practices

Evidence-based recommendations for robust scientific research.

Built to Strengthen Scientific Rigor

Improve Study Quality

Access validated templates and structured workflows that help researchers design stronger, more transparent studies

Reduce Research Waste

Use tools designed to prevent underpowered, poorly planned, or inconsistently reported research

Support Reproducibility

Follow guidance aligned with FAIR principles, pre-registration standards, and best practices in open science

Interactive Tool:
Statistical Power Explorer

Before discarding a null result, it is crucial to understand if your study was powered to detect an effect. Use this interactive tool to visualize the relationship between Sample Size and Statistical Power based on your estimated Effect Size.

How to use:


Adjust the Effect Size (Cohen’s d) slider to match your hypothesis.
Set your Alpha (α) level (standard is 0.05).
Observe how the required sample size changes to achieve 80% power.

Small (0.2) Medium (0.5) Large (0.8)
Analysis: To achieve 80% power with an effect size of 0.5, you need approximately 64 participants per group.

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