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About Course
Welcome to this course on Introduction to Open Science & Computational Reproducibility. In this course, participants will be able to learn the rationale for open science, the historical background for open source movement and computational methods that can be used to promote open science. We will also discuss reproducibility.
Course content(s)
Introduction to Open Science
Ethos of scientific Research
Introduction to Research Transparency &
Reproducibility Crises and Credibility Revolution
Open Source Software (OSS) management and workflow (e,g GitHub, Bitbucket, GitLab,Jupyter, rOpenSci, )
Dynamic Documentation (R markdown)
Ethos of scientific Research
Introduction to Research Transparency &
Reproducibility Crises and Credibility Revolution
Open Source Software (OSS) management and workflow (e,g GitHub, Bitbucket, GitLab,Jupyter, rOpenSci, )
Dynamic Documentation (R markdown)
Course Objective(s)
This introductory course will help you to understand what open science is and why it is something you should care about. You'll get to grips with the expectations of research funders and will learn how practicing aspects of open science can benefit your career progression. Upon completing this course, you will:
- understand why open science is an issue that you can't afford to ignore
- understand how to go about making your own research more open
- know what funders expect to see about open access and data sharing when applying for new grants
- learn how to progress your career through practicing open science
Course content(s)
Introduction to Open Science
Ethos of scientific Research
Introduction to Research Transparency &
Reproducibility Crises and Credibility Revolution
Open Source Software (OSS) management and workflow (e,g GitHub, Bitbucket, GitLab,Jupyter, rOpenSci, )
Dynamic Documentation (R markdown)
Ethos of scientific Research
Introduction to Research Transparency &
Reproducibility Crises and Credibility Revolution
Open Source Software (OSS) management and workflow (e,g GitHub, Bitbucket, GitLab,Jupyter, rOpenSci, )
Dynamic Documentation (R markdown)
Course Objective(s)
This introductory course will help you to understand what open science is and why it is something you should care about. You'll get to grips with the expectations of research funders and will learn how practicing aspects of open science can benefit your career progression. Upon completing this course, you will:
- understand why open science is an issue that you can't afford to ignore
- understand how to go about making your own research more open
- know what funders expect to see about open access and data sharing when applying for new grants
- learn how to progress your career through practicing open science