Assisting Researchers across Grounds with Big Data Management and Analysis
The DAC offers comprehensive support for projects on Research Computing platforms at every stage, from initial grant proposals and data ingestion to the development of finalized models and manuscript preparation, ensuring effective and efficient use of high-performance computing resources. Our consultants provide tailored guidance and technical support to researchers to ensure that their projects benefit from the latest methodologies and best practices in big data analytics.
Our team consists of experts with diverse backgrounds, offering a wealth of knowledge and experience in various domains, including bioinformatics, AI and machine learning, drug discovery, statistical analysis, image processing, high-performance computing, and data management and compliance, among others. Our services and resources range from embedding one of our team members in your project and creating custom workflows to leasing storage and purchasing time on our high-performance cluster. These services are designed to be flexible and adaptable, allowing us to support researchers across a wide range of disciplines and research questions, and can vary in scope, rate, and time-commitment from DAC team members. PIs may budget for DAC support in their grants and DAC members can be listed as key personnel.
We are committed to enhancing the quality and impact of research across Grounds by providing exceptional data analytics support using UVA HPC platforms. If you would like to learn more about how the DAC can assist with your project, or if you have specific needs or questions, please contact us at RC-DAC@virginia.edu.
Service Areas
| Project Preparation |
The computational needs of each project are unique. To help you prepare, we provide:
- Project feasibility and best practices advising
- Software and compute platform selection and configuration
- RC Systems Training
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| HPC Support |
We assist researchers with effective and efficient use of HPC resources, including:
- Technical Support
- Best practices advising
- Code parallelization, optimization, and debugging
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| Data Storage and Compliance |
RC provides a variety of Research Data Storage options. We can help you decide which option best fits your needs and compliance requirements, and assist in transferring your data onto our storage.
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| Data Wrangling and Analysis |
We assist researchers with big data wrangling, analysis, and visualization, including creation of customized data pipelines and data dashboards.
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| Code Improvement |
To assist you with code improvements - such as enhancing efficiency, optimizing performance, and ensuring scalability - we offer services in code debugging, optimization, parallelization, and containerization.
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| Computational Domain Expertise |
We have a variety of expertise including conducting academic research. We can provide specialized assistance in topics such as:
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| Grant Proposal Support |
We can help you prepare documents such as:
- Data analysis plans
- Budget justifications for compute resources
- Letters of support
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Services Provided at No Charge
Services Provided for a Fee
If you are interested in a paid service, please contact us at RC-DAC@virginia.edu for rates and other information.
How to Get Started with DAC Support
If you would like DAC assistance with a project, please contact us at RC-DAC@virginia.edu. Generally, we will start with a consultation to discuss project feasibility. If your project is approved and meets the short-term or long-term collaboration requirements, a DAC team member will schedule a meeting to discuss staff effort and deliverables. For a long-term collaboration, we will create a detailed Statement of Work (SOW) that outlines the support researchers can expect from the DAC, detailing the project scope, budget, technical tasks to be completed, timeline, team member percent effort, and the deliverables to be provided at the end of the project. The SOW ensures all parties have a mutual understanding of the project’s objectives and the level of support that will be offered.
DAC Awards
The DAC has the following awards currently available. Faculty can apply for these awards by submitting a proposal. More information and proposal instructions are provided at the corresponding links. For a list of previous DAC Award winners and corresponding projects, click here.
Featured Collaborations
We have years of experience with collaborations. To see more examples, visit our Projects page.
Team
- Jacalyn Huband, PhD: Assistant Director of the Data Analytics Center
- Madeline Erickson: Administrative Support
Consultants
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