# 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.

Please indicate where this information is available, if not here.

# 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
- Randomisation strategy, experimenter "blinding" to groups.

### 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