School of Medicine Research Computing provides training opportunities covering a variety of data analysis, basic programming and computational topics. All of the classes listed below are taught by SOMRC experts and are freely available to UVa faculty, staff and students.
For a comprehensive list of all such educational resources visit the Computation and Data Resource Exchange (CADRE) education portal.
Upcoming – Fall 2017 Registration is now open! Mark these dates on your calendar.
Domino Data Lab (DDL) provides a central environment and features for data science projects including project management, collaboration with team members, and setting up hardware configuration for a project.
Account Request Access to DDL to Ivy is managed through the Ivy account request process. Accounts are issued on a per project basis, with PIs (and any project members) being granted individual accounts to log into the DDL platform.
Once the request has been approved and all associated members have completed the necessary documentation, each individual project member can sign into DDL with his / her UVa Eservices user name and password.
School of Medicine Research Computing can help with accessing, preparing, visualizing and analyzing data. We can assist you by implementing your analysis strategy in an appropriate computing language, including R, Python, C/C++, and Mathematica. We will work with you to prepare scripts that are as reproducible, flexible and legible to you and your research team as possible. Our consultation services include wrangling, manipulating or otherwise cleaning datasets to prepare them to be analyzed.