/tag/hipaa
Ivy and Rio Secure Environment
The UVA secure environment consists of Ivy virtual machines (Linux and Windows) and Rio HPC. Researchers can use Ivy and Rio to process and store highly-sensitive data with the confidence that the environment is secure and meets requirements for HIPAA, FERPA, and controlled-access data (e.g. dbGaP, NIMH NDA, etc.). However, projects involving CUI or Export-Controlled data cannot access Rio at this time. To access Rio HPC, researchers must request a Ivy Linux virtual machine (VM) which serves as a login node.
Facilities Statement - Are you submitting a grant proposal and need standard information about UVA research computing environments? Get it here.
Computing Environments at UVA
Research Computing (UVA-RC) serves as the principal center for computational resources and associated expertise at the University of Virginia (UVA). Each year UVA-RC provides services to over 433 active PIs that sponsor more than 2463 unique users from 14 different schools/organizations at the University, maintaining a breadth of systems to support the computational and data intensive research of UVA’s researchers.
High Performance Computing Standard Security Zone UVA-RC’s High Performance Computing (HPC) systems are designed with high-speed networks, high performance storage, GPUs, and large amounts of memory in order to support modern compute and memory intensive programs. UVA-RC operates two HPC systems within the standard security zone, Rivanna and Afton.
ACCORD Community Meeting - August 5, 2022
When: Aug 5, 2022 11:00AM-3:00PM, Eastern Time (US and Canada)
UVA is proud to sponsor a community meeting to discuss ACCORD, how far we have come and where we are headed. The event is all virtual, and you may attend any or all of the topics.
Access the Event: You are welcome to invite colleagues to attend the Community Meeting, especially researchers who are new to ACCORD.
Agenda 11:00 – 11:10 Welcome to ACCORD 11:10 – 12:00 Technical Overview of ACCORD 12:00 – 12:15 Break 12:15 – 12:45 Demo of ACCORD 12:45 – 1:30 Brown bag lunch with users sharing their experience 1:30 – 1:50 Breakout Room Topic Discussions Session 1 1:50 – 1:55 Switch Breakout Rooms 1:55 – 2:15 Breakout Room Topic Discussions Session 2 2:15 – 2:30 Break 2:30 – 3:00 Peek into the Future of ACCORD The same topics will be covered in the two breakout sessions so that you may attend two of the topics.
Secure Computing for Surgical Research
RC is working with Dr. Eric Schneider to create a secure computing environment for the research of the Healthcare Surgical Outcome team. Data from this project will contain HIPAA identifiers, as well as Medicare information, and requires more security and control of data ingress/egress than projects previously hosted on the Ivy platform. After successful implementation of this project, RC will create a similar computing environment for DoD blast and traumatic brain injury data collected by Dr. Schneider before he joined UVA.
PI: Eric Schneider (Department of Surgery)
Image Processing Software on Ivy Linux VM
Pre-approved packages The following software packages are pre-approved for image processing on an Ivy Linux VM
KNIME KNIME is open source analytics platform for data mining and pipelining.
KNIME’s Image Processing Plugin allows users to perform common image processing
techniques such as registration, segmentation, and feature extraction. KNIME is compatible with over 120 image file types and can be
used alongside ImageJ.
ImageJ ImageJ is a Java-based image processing program developed at the NIH.
ImageJ can be used interactively through a graphical user interface or automatically with Java.
OpenCV OpenCV is an open source library for computer vision applications.
OpenCV includes modules for image processing, video analysis, machine learning, and much more.
Image Processing Software on Ivy Windows VM
Pre-approved packages The following software packages are pre-approved for image processing on an Ivy Windows VM
Axiovision Axiovision is software for microscopy image processing and analysis.
Axiovision is highly configurableto meet the needs of your individual workflows.
KNIME KNIME is open source analytics platform for data mining and pipelining.
KNIME’s Image Processing Plugin allows users to perform common image
processing techniques such as registration, segmentation, and feature extraction. KNIME is compatible with over 120 image file types and can be used alongside ImageJ.
ImageJ ImageJ is a Java-based image processing program developed at the NIH.
ImageJ can be used interactively through a graphical user interface or automatically with Java.
