important things before the open-access data
Introduction into available tools
Understandable coding 
How to manage different data sources in one experiment (e.g. eye tracking, performance, questionnaire..)
Upload data before or after publishing a paper? Time mangement
going over guidelines/best practice on how to name files, folders and data as well as folder structure.
understanding where redundancy is needed (raw data?) and where to avoid it.
understanding what should always go into a readme file.
Cleaning up R code for readability
how to integrate gitHub in workflow
Documentation of a final R script
Where to store data for long-term accessibility (conventions?)
Steps and when to do what
How to best arrange the data
Tools, where I should upload my final data