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