Cloud Computing environments like Microsoft Azure offer an alternative to traditional on-premises data centers, enabling researchers to host data-intensive projects, run complex simulations, and access powerful computing resources without the constraints of on-premises hardware.
Our research-specific Azure subscription offers flexible and compliant environments that can be further tailored to individual project needs.
Azure works well for short-term research projects, especially those that may need bursts of additional resources.
If the priority is to obtain fast, high-quality results over controlling costs, Azure can help keep the project running efficiently.
The cloud resources can be allocated to meet specific needs for accessibility and availability, depending on budget.
Azure also offers access to advanced technologies like AI chipsets, generative AI, and large language models (LLMs).
Additionally, it has built-in tools to support compliance with standards such as HIPAA and NIST SP 800-171 Rev. 2
A consultation is required to assess whether Azure is the right fit for your research study.
This is not a self-service resource.
This involves a meeting to review your project requirements and specifications.
Researchers are required to submit a TDX support ticket along with their IRB protocol.
Once submitted, they will be contacted to schedule a meeting, during which the most suitable technologies for the project will be determined.
Key considerations before resources can be granted include whether IRB approval is required, if the principal investigator’s approval is necessary, and if HIPAA data can be used. It’s also important to determine responsibilities between the user and service provider, understand free vs. paid options, decide between self-service or managed services, and ensure any necessary training is in place.
Once granted, the PI must ensure that all data remains within the designated study share or shares created specifically for the IRB-approved study or purpose.