discipline
uploading under a license (CC-BY....)
report changes to dataset
Do not do it in your spare time?
Brainpower
pseudonymizing/anonymizing data
Trink about file names
regular cleaning 😊
codebook
loading data on an archive, repository etc...
Special time slot in calendar
avoid redundancy
readme
clarity
consistency
Doing the archive
report deviations from preregistration
Read-Me
checklists
clear workflow
have one place where you store the data
Document data collection in Details
Document yout code
Documentation
preregistration
Structure Structure Structure
recording the steps (taken through analysis)
Be consistent
github documentation
consitency
Reproducible code
Time Investment 😄
