The Use of Git in Statistical Programming

Project Scope

What features are most beneficial to stat programming? What are the benefits of Git?

There is interest across the pharmaceutical industry in using Git for statistical programming. Some companies have already incorporated Git, or are attempting to, and there are common challenges being faced. The introduction of Git has increased the complexity of a statistical programmer’s tasks, which has led to challenges in uptake and in taking advantage of the benefits Git offers. The purpose of this Working Group project is to provide the industry with tools and guidance for addressing and overcoming this common challenge.

Eleanor Sparling, GSK

eleanor.x.sparling@gsk.com

Kieran Martin, Novartis

kieran.martin@novartis.com

Alex Pearce, PHUSE Project Coordinator

alexandra@phuse.global

1. Principles for using Git and example workflow(s) in context of the current QC process

2. PHUSE white paper on Git for statistical programming, to cover:

• The case for Git

• Challenges in using Git

• Current QC process

• Using Git for audit trails

• How Git can work with the current QC process

• How Git is typically used outside of statistical programming and why

• What the QC process could look like when using the benefits of a typical Git framework

• Regulators’ point of view

3. Core education on Git for statistical programmers

4. Soft proposal for an alternative QC process using Git features

TBC