- "TO BE RE-USABLE: R1.1. (meta)data are released with a clear and accessible data usage license" (THE FAIR DATA PRINCIPLES , FORCE11)
It is intended to aid researchers, teachers, librarians, administrators and many others using and encountering Creative Commons licences in their work.
In particular, this guideline goes through the following issues :
1. What is Open Science?
2. How should I license my data for the purposes of Open Science?
3. But I would like attribution when others use my dataset.
In that case, shouldn’t I use a CC BY licence?
4. I’m uncomfortable with others using my research for commercial purposes.
Should I use a non-commercial licence for my dataset?
5. I’m uncomfortable permitting use of my research for any and all purposes.
Should I use a ‘No Derivatives’ (ND) licence for my dataset?
6. What happens if I use ‘Share Alike’ (SA) licensed material in my work?
Does that mean I have to make my work available under the same SA licence?
7. It sounds like you’re really pushing for the use of CC0 for open science datasets.
Source: ‘Fact Sheet on Creative Commons and Open Science’, Creative Commons UK, DOI: 10.5281/zenodo.840652, CC BY 4.0, https://creativecommons.org/licenses/by/4.0
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- THE RATIONALE FOR FAIR OPEN RESEARCH DATA
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- What does good Open Data look like? Explaining the Open Data Charter principles
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- OpenAIRE survey about Horizon 2020 template for Data Management Plans 2017 (What are the top priorities for any Data Management Plan /DMP tool?)
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