Data Stewardship for Open Science

CHAPTER 2

Data Cycle Step 1: Design of Experiment

Before you decide to embark on any new study, it is nowadays good practice to consider all options to keep the data-generation part of your study as limited as possible. It is not because we can generate massive amounts of data that we always need to do so. Creating data with public money brings with it the responsibility to treat those data well, and (if potentially useful) make them available for reuse by others. There is considerable effort and cost associated with making data FAIR, and generally speaking, recreating data that may exist somewhere else is a waste of public resources. So, given the research question you would like to address, the very first question in open science setting should ...