What are the basic principles of open science? How can you implement FAIR and R5, and what do they mean for your organisation?
| contact hours | self-study hours | instructor |
|---|---|---|
| 1 | 1 | Nikola Vasiljevic |
A 55-minute online discussion based around this presentation, covering:
- The project lifecycle
- FAIR data
- The R5 principles.
See the notes from the seminar for more information.
- Understand the concept of reusable analysis
- Differentiate between different research outputs, including data, code, and papers
- Understand metadata
- Students know what the FAIR data principles are
- Students know how different research products can be published
- Students know how to apply the R5 principles to data products
See ../99_resources/01_open_data/readme.md.
- Open Science and FAIR data principles (LIKE Deliverable 7.1). Available at https://like-itn-digitalization.readthedocs.io/en/latest/.
- Open Science: How do we make it more than just a buzzword? (Version pre-print). Zenodo.
- Please raise an issue.
| Previous: Self-study 1: "Background reading" | Course outline | Next: Self-study 2: "Is your Group's work FAIR?" |
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