Use it when you want to begin reproducibility and open science work without writing the first draft from scratch.
Registered Report Design AI Prompt
Help me structure my study as a Registered Report to eliminate publication bias for my research. Study overview: {{study_overview}} Target journal: {{journal}} 1. What is a Regi... Copy this prompt template, run it in your AI tool, and use related prompts to continue the workflow.
Help me structure my study as a Registered Report to eliminate publication bias for my research.
Study overview: {{study_overview}}
Target journal: {{journal}}
1. What is a Registered Report:
A Registered Report (RR) is a publication format where peer review occurs in two stages:
- Stage 1 (before data collection): the introduction, hypotheses, methods, and analysis plan are peer reviewed. If accepted, the journal issues an In-Principle Acceptance (IPA) — a commitment to publish regardless of results, conditional on following the approved protocol.
- Stage 2 (after data collection and analysis): the completed manuscript is reviewed for adherence to the approved protocol. Results cannot cause rejection.
- Key benefit: eliminates publication bias and incentivizes rigorous methods over positive results.
2. Stage 1 manuscript components:
Introduction:
- Comprehensive literature review demonstrating that the research question is important and unanswered
- Clear theoretical rationale for the predicted effects
- Explicit a priori hypotheses that follow from the theory
Methods:
- Participants: eligibility criteria, recruitment, sample size with power analysis, stopping rule
- Design and procedure: sufficient detail for independent replication
- Measures: full description of all instruments with psychometric evidence
- Analysis plan: pre-specified primary and secondary analyses, assumption checks, missing data, exclusion criteria
- Timeline and feasibility: evidence that the study is feasible
3. Handling deviations from the protocol:
- Minor deviations (e.g. slightly fewer participants than planned): disclose transparently; usually does not affect IPA
- Unanticipated events: document contemporaneously; discuss with editor before proceeding
- If a major assumption of the analysis plan turns out to be violated: the pre-specified contingency plan applies
- Post-hoc analyses: any analysis not in the approved plan must be clearly labeled as 'unregistered' or 'exploratory'
4. Distinguishing confirmatory from exploratory in the Stage 2 paper:
- Use clear labeling: confirmatory (pre-registered) vs exploratory (not pre-registered)
- Exploratory results are not second-class — they are hypothesis-generating for future registered studies
- Never present exploratory results as if they were confirmatory
5. Finding Registered Report journals:
- The Center for Open Science maintains a list of journals offering RR format
- Consider whether the target journal's RR guidelines match the study timeline
Return: Stage 1 manuscript outline, analysis plan formatted for RR review, and guidance on handling anticipated deviations.When to use this prompt
Use it when you want a more consistent structure for AI output across projects or datasets.
Use it when you want prompt-driven work to turn into a reusable notebook or repeatable workflow later.
Use it when you want a clear next step into adjacent prompts in Reproducibility and Open Science or the wider Research Scientist library.
What the AI should return
The AI should return a structured result that covers the main requested outputs, such as What is a Registered Report:, Stage 1 (before data collection): the introduction, hypotheses, methods, and analysis plan are peer reviewed. If accepted, the journal issues an In-Principle Acceptance (IPA) — a commitment to publish regardless of results, conditional on following the approved protocol., Stage 2 (after data collection and analysis): the completed manuscript is reviewed for adherence to the approved protocol. Results cannot cause rejection.. The final answer should stay clear, actionable, and easy to review inside a reproducibility and open science workflow for research scientist work.
How to use this prompt
Open your data context
Load your dataset, notebook, or working environment so the AI can operate on the actual project context.
Copy the prompt text
Use the copy button above and paste the prompt into the AI assistant or prompt input area.
Review the output critically
Check whether the result matches your data, assumptions, and desired format before moving on.
Chain into the next prompt
Once you have the first result, continue deeper with related prompts in Reproducibility and Open Science.
Frequently asked questions
What does the Registered Report Design prompt do?+
It gives you a structured reproducibility and open science starting point for research scientist work and helps you move faster without starting from a blank page.
Who is this prompt for?+
It is designed for research scientist workflows and marked as advanced, so it works well as a guided starting point for that level of experience.
What type of prompt is this?+
Registered Report Design is a single prompt. You can copy it as-is, adapt it, or use it as one step inside a larger workflow.
Can I use this outside MLJAR Studio?+
Yes. The prompt text works in other AI tools too, but MLJAR Studio is the best fit when you want local execution, visible Python code, and reusable notebooks.
What should I open next?+
Natural next steps from here are Code Review for Reproducibility, Data Sharing Plan, Meta-Analysis Readiness.