It is undeniable that good project management leads to improved reproducibility and research productivity. Project management becomes significantly more important as the size of the project and the amount of data increases. Project management is not just about how you organize your data, files and folders but also how you record the steps in data analysis that leads to the publication of your research.
Table of Contents
1. Introduction to Project Management1.1 Overview of essential tools for modern research
1.2 Project strategy and risk management
1.2.1 Project Design vs Project Framework
2. Collaboration & Communication
2.1 Team communication tools
2.1.1 Introduction to Slack
3. Resource Management
3.1 Data Management
3.1.1 Open Science policy
FAIR principles
CARE principles
TRUST principles
3.1.2 Data Management Plan (hands-on)
3.2 Code Development & Management
3.3 Storage & Version Control
3.3.1 GIT - a distributed version control system
GIT Commands
3.3.2 Online hosting platforms for GIT repositories
Introduction to GitHub
GitHub - getting started
GitHub - getting started (class exercise)
Introduction to BitBucket
3.4 Documentation improvement tools
3.4.1 A Practical guide to managing research documentation
3.4.2 Tools for research documentation
3.4.3 Tools for code documentation
3.4.4 Introduction to Markdown
4. Quality Assurance
4.1 Monitoring & Evaluation
4.2 Enhancing productivity in research
4.3 Reproducibility in research
4.3.1 Research reproducibility guideline
5. Project Closing
5.1 Research Publication