##Open Licensing: Creative Commons
Goals for this lesson
- Understand why open licenses are used
- Get an idea what licenses exist - and how those apply to data
- What are pros/cons of different licenses
- How open licenses affect collaboration and reuse
- Steps you can take
- Is it licence or license? Discuss (j/k)
- What does an Open License signal to users (and to you)
- Shift from All Rights Reserved to Some Rights Reserved
- History of Open Licensing (Free/Libre/Open Source Licenses)
- Free/Open Source Software
- Creative Commons
- Open Access Definition
- Open Licensing is a hack that works within regular copyright restrictions
- Different licenses exist
- Does it apply Copyleft / "ShareAlike" provisions=?
- Does it allow commercial use?
- Does it require people to attribute me as the source?
- Difference between Attribution and Citation
- Beyond copyright, what else do I need to think about?
- International collaboration
- When copyright doesn't apply
- Database directives (Canada, EU, Australia, etc.)
- Future proofing your data
- Interoperability
- Maximizing use downstream
- Key takeaways / steps you can take
- Not one type of licenses fits all!
- Code != Art/Writing != Data
- How to make your data as open and interoperable as possible
- Understand the common fears, myths, concerns
- Have a discussion with your collaborators
- Make a clear license statement / reuse plan
- Be informed (and help inform others).
- Not one type of licenses fits all!
Resources:
- The lecture! Kaitlin Thaney on Open Licencing, with discussion
- Open Access
- Defining Open Access
- Open Access Overview - Peter Suber
- For Code
- Choose A License, when you want to license code
- Open Source Licenses, an overview
- For Data
- Implementing Open Access Data - Science Commons
- Data Sharing on the Web - Presentation at ISWC by Kaitlin Thaney
- Sharing Research Data and Intellectual Property Law: A Primer from Michael Carroll
- Why we should publish our data under CC0 from Canadensys
- CC0 for data from Creative Commons