# Content

This readme contains a summary of information you should provide about your data. This is mostly meant as a checklist, as the information should be best included in the readme of the data folders or in the data management plan.

# List of experiments

## 001

### Hardware/tool used for acquisition

### protocol

- Standard procedure
- Glossary/definition of terms (for categorical variables)
- What changed, when and why
- Techniques that were tested but not chosen, and why

### raw data description

- how does good/reliable data look like
- exclusion criteria
- data flow. What type of data is collected when
- headers description, how to interpret the data

### data analysis

- analysis workflow
- code versions