Data Analytics Center
The Data Analytics Center is the hub for assisting researchers across Grounds with the management and analysis of large datasets on Research Computing platforms.
Quick Links How To Request
DAC Support Include DAC Support
in Your Grant Budget DAC Analytics
Resource Awards Services We offer comprehensive computational solutions for your research projects including
workflow development, software and computing platforms selection, new platform configuration, containerization, coding assistance, code optimization and parallelization, data collection and analysis, and machine learning and artificial intelligence support. Areas of Expertise Our staff have a variety of experience and expertise to assist with your next research project and many have been academic researchers.
UVA Research Computing Exhibition: April 23, 2024
About This Event: The Research Computing Exhibition will be held on Tuesday, April 23, 2024 in the Newcomb Hall Ballroom. The event will include:
A panel discussion made up of academic scientific computing experts and research computing faculty and staff. Judged poster session with prizes: First Place: $3,000 travel voucher Second Place: $2,000 travel voucher Third Place: $1,000 travel voucher Light refreshments If you would like to participate in the poster session, please fill out the Intent to Participate Form by Friday, March 15. Key dates for poster session participants: March 15: Intent to Participate Form Due
Three Tiers For Support
Tier 1: Training & Technical Support:
Research computing provides training for the use of our systems. The training includes onboarding, introductory sessions, and computational workshops. Additionally, we provide technical support to researchers through our online support request form and virtual office hours. Through these formats, we are able to assist researchers with system access issues and troubleshooting computational problems on our systems. These are services that are provided at no-charge to researchers. Tier 2: Consultation:
Initial project consultation and assessment are provided at no charge. If determined feasible, the DAC team member will advise the researcher of the specific support activities that can be offered at no charge (capped at 20h, at ≤ 8h/week).
Research Computing empowers UVA researchers to achieve more with cutting-edge computational resources. Our support team strives to create innovative solutions for researchers who need help solving complex optimization, parallelization, workflow, and data analysis issues. We build and maintain the University’s best computing platforms while educating the next generation of researchers on the power of advanced computing.
Research Computing Staff
Acknowledgement in Publications
Recognition and documentation of the contribution that Research Computing’s systems and support play in breakthrough research is essential to ensuring continued support for and availability of cutting-edge computing resources at The University of Virginia. Please cite UVA Research Computing in any research report, journal article, or other publication that requires citation of an author’s contributions.
The authors acknowledge Research Computing at The University of Virginia for providing computational resources and technical support that have contributed to the results reported within this publication. URL: https://rc.virginia.edu
What is Research Computing?
UVA Research Computing (RC) is a new program that aims to support computational biomedical research by providing advanced cyberinfrastructure and expertise in data analysis at scale. Our mission is to foster a culture of computational thinking and promote interdisciplinary collaboration in various data-driven research domains. We offer services related to high performance computing, cloud architecture, scientific programming and big data solutions. We also aim to promote computationally intensive research at UVA through collaborative efforts such as UVA’s own CADRE (Computation And Data Resource Exchange) and XSEDE (Extreme Science and Engineering Discovery Environment).
One of our driving philosophies is that researchers already have medical and scientific expertise, and should not have to become computing experts on top of that.