Set-up overview
You are likely to need the following tools and services
1 Tools
2 Services
3 How to set-up FlowEHR on Azure
See the onboarding for the data scientist docs for more details.
- You will be working from your laptop, and interacting through a browser (e.g. Edge, Chrome etc.)
- Ask your FlowEHR administrator for access to the Azure TRE landing zone. They will provide you with a link to the landing page, and add your NHS.net credentials to the list of approved users.
- Login using your NHS.net email. You will need to have 2-factor authentication enabled
- Set-up a virtual machine from one of the provided templates. Details in the Azure TRE docs
- Inbound and outbound traffic to the TRE is strictly controlled so you will find the following services to enable you to work
- a mirror of Python (via Conda, and PyPi), R and other package managers provided by Nexus
- an internal Git server provided by Gitea
- an airlock for moving items into and out from the TRE. Local polices will enforce controls to protect data, and the environment.
You should find yourself with a suite of open source tools designed for modern data science tasks:
- Jupyter
- RStudio
- Integrated Development Environments (e.g. PyCharm) and text editors (e.g. VS Code)
- A database GUI
See also
- Trusted Research Environments
- Virtual Machines and in particular