Research ScientistReproducibility and Open ScienceIntermediateSingle prompt

Open Materials Preparation AI Prompt

Prepare my study materials for open sharing so other researchers can replicate and build on my work. Materials to share: {{materials_list}} (stimuli, surveys, experimental scrip... Copy this prompt template, run it in your AI tool, and use related prompts to continue the workflow.

Prompt text
Prepare my study materials for open sharing so other researchers can replicate and build on my work.

Materials to share: {{materials_list}} (stimuli, surveys, experimental scripts, coding schemes, etc.)
Repository: {{repository}} (OSF, GitHub, institutional repository, etc.)

1. What to share:
   - Stimuli: all experimental stimuli in their original form (images, audio, video, text)
   - Survey instruments: the exact survey or questionnaire as presented to participants, including all instructions
   - Experimental scripts: code for computerized experiments (PsychoPy, jsPsych, Qualtrics export)
   - Coding schemes: rubrics for rating or coding qualitative data, with training examples
   - Pilot materials: any materials from pilot testing that informed the final design

2. Documentation to accompany each material:
   - What it is: a plain-language description of what this material is and what it does
   - When it was used: at what point in the study protocol was this used?
   - How it was scored or coded: if the material produces data, how are responses scored or coded?
   - Adaptations: if this material was adapted from an existing source, what was changed and why?
   - License: under what terms may other researchers use this material?

3. Licensing:
   - For original materials: use Creative Commons CC-BY (others may use with attribution)
   - For adapted materials: check the license of the original — some restrict derivatives
   - For code: use an open source license (MIT, Apache 2.0, GPL)
   - For data: use CC-BY or CC0 (public domain dedication)
   - Never share materials under restrictive licenses that prevent replication

4. README for the materials repository:
   - What this repository contains
   - How materials correspond to the published paper
   - Any materials that could not be shared and why
   - Contact information for questions
   - How to cite the materials

5. Getting a persistent identifier:
   - DOI for materials enables citation tracking
   - OSF and Zenodo provide free DOIs for deposited materials
   - Include the materials DOI in the published paper

6. What you cannot or should not share:
   - Materials under copyright that you do not own
   - Materials that would allow identification of participants
   - Commercially licensed instruments — instead, provide the name and where to obtain them

Return: materials inventory checklist, documentation template per material type, license recommendations, and README template.

When to use this prompt

Use case 01

Use it when you want to begin reproducibility and open science work without writing the first draft from scratch.

Use case 02

Use it when you want a more consistent structure for AI output across projects or datasets.

Use case 03

Use it when you want prompt-driven work to turn into a reusable notebook or repeatable workflow later.

Use case 04

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 to share:, Stimuli: all experimental stimuli in their original form (images, audio, video, text), Survey instruments: the exact survey or questionnaire as presented to participants, including all instructions. 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

1

Open your data context

Load your dataset, notebook, or working environment so the AI can operate on the actual project context.

2

Copy the prompt text

Use the copy button above and paste the prompt into the AI assistant or prompt input area.

3

Review the output critically

Check whether the result matches your data, assumptions, and desired format before moving on.

4

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 Open Materials Preparation 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 intermediate, so it works well as a guided starting point for that level of experience.

What type of prompt is this?+

Open Materials Preparation 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.