According to the Open Knowledge Foundation’s Open Definition, data and content are open if they can be freely used, modified, and shared by anyone for any purpose. Therefore, to make data open; it is first necessary to identify the copyrights that may apply to it, and then to license it in order for data to be reused. As a matter of fact, not all licenses are suitable for data. And among those that can be used, Creative Commons for example, some are problematic regarding the definition of open data.
This lightning talk will present the main conclusions of my Master’s thesis on the subject. I will present which copyrights can be leveraged in the context of research data, the licenses that are inconsistent with the Open Definition, as well as those that are compliant and the best suited to serve the Open Science movement.