Creative Commons and data projects. One license to rule them all
Creative Commons and Data. In the vision declaration that has been released by Creative Commons for their ten year anniversary, they have set their mission to nothing less than realizing the full potential of the Internet for driving a new era of development, growth and productivity. Science, data and open government projects are amongst the top priorities as it becomes evident that these fields will be at the core of the data driven society we are slowly but steadily steering towards. The past two years the Creative Commons community has been working hard on version 4.0 of the licenses, for a great part to enable the data communities around the world , to provide them with suitable tools for opening and reusing data. With their recent release (November 2013) this is a perfect opportunity to take a look at what has changed and why CC is the best option for your open data project.
This session starts with a short introduction by Yannick H'Madoun, followed by two in-depth talks from Dr. Thomas Margoni and Dr. Katleen Janssen. Afterwards there will be a discussion where speakers and audience can elaborate about the topic.
Session of Thomas Margoni
The new Creative Commons Public License 4.0 represents a major evolution from previous versions. The new 4.0 features a number of important changes, amongst which there is certainly the inclusion of the (mostly EU) sui generis database right (SGDR) into the scope of the license. Previous versions, in fact, either did not mention the SGDR (leaving it allegedly in the licensor's domain), or provided a specific waiver for it (such as CCPLv3.0 ported to EU jurisdictions). This talk intends to briefly clarify what the SGDR is, when it comes into play, and how the new CCPLv4.0 regulates it. Naturally these aspects are important to all actual and potential users of CC, but are particularly relevant for those in the scientific and data fields.
Session of Katleen Jannsen
With the increasing popularity of open data, there has unfortunately also been a proliferation of licenses. Each sector, country, region, authority or organization claims to need its own license, because it is different or ‘special’. However, one could wonder in how far this is really the case, and whether all these open data licenses are actually limiting the use of open data rather than promoting it. This session will try to figure out why everyone wants their own licence, and what the impact of this desire to be special is on open data.