The Turing Way Workshop: Reproducible, Open and FAIR Research
Description
Overview
In this part-1 of the workshop we covered the following topics:
- Reproducible Research
- Open Science
- FAIR principles
- Setting project repository
- README files (basic information about the project) on GitHub
You can find the presentation on Zenodo (https://zenodo.org/record/6337939), shared under CC-BY 4.0 License for reuse and share. Please cite them as: Sharan, Malvika, & Karoune, Emma. (2022, March 8). The Turing Way Workshop: Reproducible, Open and FAIR Research. Zenodo. https://doi.org/10.5281/zenodo.6337939
Several slides in this presentation uses The Turing Way and Open Life Science contents shared under CC-BY 4.0 License.
Assignments before the next session:
- Create a project repository in GitHub (see details here: https://hackmd.io/QPDHWmcSTVGPd4Z_VbwHTA#Pre-requisite)
- Add top-level files: README.md
- Use The Turing Way chapter for README to guide your assignment
https://the-turing-way.netlify.app/project-design/project-repo/project-repo-readme.html - README file is used to communicate about your work, use this template to get started: https://ha0ye.github.io/CW21-README-tips/template_README.html
- Use The Turing Way chapter for README to guide your assignment
- Also try to add a LICENSE.md: OPTIONAL (we will cover this detail in the session 2)
- This is to allow others to use, modify, build upon your work - we will cover this in the next session in more details.
Learning objectives
- Problem: Scientific errors have real world effect
- Define what reproducible research is
- Understand what open science practices are
- Identify FAIR principles for your research
- Differentiate between FAIR and open data/research
- Learn how to implement a reproducible workflow
Shared notes
This workshop uses a shared document, you can see/reuse the template provided here: https://hackmd.io/@turingway/B1fgLlB-5/edit
What to expect in session 2
- Brief overview of what license to choose for your research objects
- Group activities to understand reproducible workflow (you don’t need to know how to code, but it will be an added advantage)
- Deploy GitHub repository on BinderHub.
- Binder allows users to share reproducible interactive computing environments from code repositories.
- This is useful to share your codes for testing
Files
2022-03-04-TuringWay-ReproOpenFAIR-part1.pdf
Files
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