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GitHub Essentials for Research is a comprehensive course designed to equip researchers with the necessary skills to effectively manage code, data, and collaboration using GitHub. This course focuses on leveraging GitHub's features and functionalities to streamline research workflows, enhance version control, facilitate collaboration, and ensure reproducibility in academic research projects.
- Introduction to GitHub and its significance in academic research
- Creating a GitHub account and setting up a research profile
- Navigating the GitHub interface and understanding key terminologies
- Setting up repositories for research projects
- Understanding Git and version control concepts
- Managing and tracking code changes using Git and GitHub
- Storing and organizing research data on GitHub repositories
- Collaborative data management using Git and GitHub
- Leveraging GitHub's data visualization tools for research analysis
- Collaborative workflows and branching strategies
- Resolving conflicts and merging changes
- Utilizing issue tracking and pull requests for research collaboration
- Introduction to GitHub Project Boards for project management
- Creating and organizing project boards for research tasks
- Tracking progress, assigning tasks, and collaborating with team members
- Introduction to GitHub Pages for creating research websites
- Creating a research website using Markdown and GitHub Pages
- Customizing the website and showcasing research findings
- Creating and managing a dataset repository on GitHub
- Structuring and organizing datasets for easy access and sharing
- Collaborative dataset management and contribution workflows
- Creating reproducible research environments with Git and GitHub
- Managing dependencies and documenting research workflows
- Archiving research projects with Zenodo integration
- Setting up Visual Studio Code for seamless integration with GitHub
- Managing code repositories, branches, and pull requests from within Visual Studio Code
- Utilizing Visual Studio Code extensions for enhanced GitHub integration in research projects
- Integrating Google Colab with GitHub for collaborative research and code sharing
- Cloning, editing, and synchronizing Colab notebooks with GitHub repositories
- Leveraging the power of GitHub and Google Colab for data analysis and machine learning projects
- Understanding the importance of citable research outputs
- Integrating GitHub repositories with Zenodo for assigning DOIs and ensuring citability
- Publishing research artifacts on Zenodo and managing versioning
- Creating and managing a dataset repository on GitHub
- Structuring and organizing datasets for easy access and sharing
- Collaborative dataset management and contribution workflows
This course is designed for researchers, scientists, graduate students, and academic professionals who want to enhance their research practices, streamline collaboration, and ensure effective version control using GitHub.
- Basic familiarity with the command line interface (CLI)
- Understanding of version control concepts (Git)
- Prior experience with programming and data management is beneficial but not required.
- Estimated course duration: 18 hours (self-paced)
Upon completion of the course, participants will receive a certificate of achievement for GitHub Essentials for Research.
All course materials, including video tutorials, exercises, and additional resources, will be provided within the course platform.
The course will be taught by experienced instructors with a strong background in academic research and expertise in utilizing GitHub for research collaboration and version control.
Please refer to the course website for information on course fees and enrollment details.
Please check the course website for the upcoming schedule and registration dates.
Note: The course content and schedule are subject to change to provide the best learning experience for participants.
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