Demo For 29 Sept Project

This project is meant to run on the Data Science VMs for the BACPAC project. A Docker file, however, is included, for convenience.

> source aliases.sh
> bu # build the image
> rss # start rstudio server (port 8787)
> r # commandline R environment

Outline

Security - the data portal is meant to make it easy to be secure by default. Sensitive data is limited by design to projects occupied by collaborators.
Ease of access - Once logged into your personal virtual machine (Linux or Windows) all the data to which you have access is available on the file system in a portable fashion. We plan to augment this access with libraries in our supported analysis languages.
Sharing data within collaborations is a critical goal - each collaboration has a secure shared space for intermediate results and shared code.
VM's will have access to HPC via Azure Batch

How to get an account (briefly)
Users have access to (at least) 3 types of data:
1. canonical project data
2. shared project data
3. personal data
Canonical data is read only data for each project mediated by the BACPAC. Data will be checked to ensure compliane with BACPAC data transfer SOP.
Shared project data is for collaborators to share intermediate results.
Personal data is personal file storage - not visible to other collaborators. Non-sensitive data is permitted to moved in and out of personal storage.
Demo of VMs (Windows and/or Linux) a. Log in b. Tour of data locations c. Show somehow all the software d. Start RStudio e. Access data via the BACPAC Backpack or Filesystem f. Analysis and Project Storage

Demo Read but not Write access to Canonical Data
Detail on Additional Software
Put together HTML document for the included software
Mention - VMs will be Linux and Windows based.
HPC via Azure Batch
Process of signing up for an account Users will need to be affiliated with a project