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