Research Data Management Decision Tree

<p>Researchers often face the same stumbling blocks. To support them, we have developed a <strong>RDM Decisional Tree</strong> starting from the fundamental bricks of the data lifecycle and posing a series of questions to help researchers navigate:</p> <p>1) the domain specific nature and origin of the data they are handling;</p> <p>2) Privacy/Ethics requirements (e.g. GDPR);</p> <p>3) Intellectual Property Rights;</p> <p>4) active data storage;</p> <p>5) long-term deposit and preservation.</p> <p><span>This diagram has been created by the team of data steward at the University of Bologna (UNIBO, Alma Mater Studiorum - Universit&agrave; di Bologna) in October 2022.&nbsp;</span>It has been developed in parallel to the Research Data Management: Data Lifecycle, available here:&nbsp;<a href="https://doi.org/10.5281/zenodo.7249050">10.5281/zenodo.7249050</a>&nbsp;</p>