Clean Code

Description: This module emphasizes the importance of writing clean, readable, and maintainable code in the context of research data management. Participants will learn the principles of clean code, including naming conventions, modularity, documentation, and testing. The module will provide best practices for organizing code, avoiding common pitfalls, and ensuring that scripts and programs are easy to understand and modify by others. Practical examples and coding standards will be shared to help participants improve their coding practices and enhance collaboration within research teams.