# 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. It is advised to draw the data flow to keep an overview.

# 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