ABSTRACT
In many cases, data is reused way beyond the purposes for which they were originally created, so long-term data stewardship is a crucial element in open science. However, optimal care should be taken to make results as reproducible as possible and good data stewardship is the very basis of good research practice. When readers access the e-book that comes with the printed version, they are able to both read and contribute in the associated open access data stewardship wizard environment. Data stewardship can thus also be specified as the good care of data throughout its full life cycle, from the planning for its creation, all the way through to its prolonged reuse. The FAIR principles have sparked a serious debate about better data stewardship in data-driven science. The term machine-readable is probably more common than the term machine-actionable, which has been associated with the FAIR principles.
