GitHub, known for its robust version control and collaborative features, has transcended beyond its coding roots to become an invaluable asset for data researchers. This talk examines GitHub's role in the lifecycle of research data management and collaboration.
We will explore how GitHub facilitates data sharing, version tracking, and reproducibility of results in a research setting. The presentation will cover best practices for organizing data repositories, using branches for experimental data analysis, and leveraging GitHub Actions for automating workflows.
Through case studies and practical examples, participants will learn how to utilize GitHub for efficient management of their research data, ensuring transparency, and fostering open science. We will also discuss strategies for addressing common challenges such as large data handling and maintaining data privacy.
The session aims to equip researchers with the knowledge to leverage GitHub as a platform for enhancing the quality and impact of their data-driven research.