The Use of Git in Statistical Programming
Project Description |
This Working Group project aims to support the pharmaceutical industry in adopting Git for statistical programming by identifying the most beneficial features and addressing common challenges. While interest in Git is growing and some organisations have begun implementation, uptake remains inconsistent due to the added complexity it introduces to established workflows. The project will provide practical guidance, tools and examples to help statistical programmers understand and effectively use Git, enabling them to realise its benefits in areas such as version control, collaboration and traceability. By reducing barriers to adoption and clarifying how Git can be integrated into existing processes, the initiative seeks to improve efficiency, consistency and confidence in its use across the industry. |
Project Leads | |
|---|---|
Eleanor Sparling, GSK | |
Kieran Martin, Novartis | |
Nicola Newton, PHUSE Project Coordinator | nicky@phuse.global |
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