- "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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- Avoiding Data Use Silos : How to Simplify The Open Licensing Landscape
- How to License Research Data (DCC)
- THE RATIONALE FOR FAIR OPEN RESEARCH DATA
- Make FAIR your Datasets using Springer Nature RESEARCH DATA SUPPORT
- What does good Open Data look like? Explaining the Open Data Charter principles
The Research Data Alliance. Because open data is not enough (Mark A. Parsons, slides)
Legal Interoperability of Research Data: Principles and Implementation Guidelines (Christoph Bruch, slides)
- FAIRsharing.org: Data sharing license and attribution
- METADATA 2020 : details and crosswalks of the recommendations. Can we agree?
- OPEN DATA : Looking Back, Looking Ahead
- Implement effective Open Data & Keep it alive with Open Data TOOLKIT
- The Realities of Research Data Management: A four-part series that explores how research universities are addressing the challenge of managing research data throughout the research lifecycle (OCLC Research, 2017)
- OpenAIRE survey about Horizon 2020 template for Data Management Plans 2017 (What are the top priorities for any Data Management Plan /DMP tool?)
- Study on legal barriers to open data sharing - Data Protection and PSI (© 2017 Göttingen State and University Library)
- Get your free copy of Research Data Management Toolkit
- Organise your own Open Science Cafe & FOSTER Open Science
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- 23 Things for Research Data Management
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- Data Sharing : there is no One-Size Fits-All solution ...
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- ERC Guidelines on the Implementation of Open Access to Scientific Publications and Research Data
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- Empowering Open Science: Kick Off of the OpenAIRE-Advance H2020 project (2018)