# Make my research analysis reproducible and shareable

Organizes my project's data, code, and documentation so others (and future me) can rerun the analysis and get the same results.

- Topic: Software Development
- Framework: Few-Shot
- Level: Standard
- Tags: Research, Analyze, Plan, Fill-in Template
- Source: https://www.thinkwithprompt.com/prompts/make-my-research-analysis-reproducible-and-shareable

## Prompt

```text
Help me make my research analysis reproducible before I publish or share it.

**Language and tools:** [e.g. "R with RStudio", "Python and Jupyter", "Stata", "MATLAB"]
**Current project structure:** [PASTE a folder listing or describe it]
**Data:** [raw sources, size, whether it can be shared publicly, any personal data]
**How the analysis runs today:** [e.g. "I run scripts in order by hand", "one big notebook"]
**Where I plan to share:** [e.g. "GitHub plus Zenodo", "OSF", "journal supplement"]

Give me:
1. A recommended folder structure (raw data kept read-only, processed data, code, outputs, docs) and how to move my current files into it.
2. A way to run everything in order from raw data to final figures and tables with one command (e.g. a main script, Makefile, or targets/snakemake), with a starter version.
3. Environment capture: how to record package versions (e.g. renv, requirements.txt, conda environment file) and set random seeds.
4. A README template: purpose, how to run, software requirements, data access instructions, expected outputs mapped to paper figures and tables, license, and how to cite.
5. A pre-release checklist: run on a clean machine, remove hard-coded paths and credentials, check that no personal or restricted data is included, and assign a DOI.

Keep advice proportionate to a single research project, not a software product.
```

## What to fill in

- PASTE a folder listing or describe it
- e.g. "I run scripts in order by hand", "one big notebook"
- e.g. "GitHub plus Zenodo", "OSF", "journal supplement"

Free to copy and use. From ThinkWithPrompt (https://www.thinkwithprompt.com/), a library of 2,663 curated AI prompts.