Enabling Biomedical Data Driven Research
Supplying infrastructure, tools, and services to Stanford biomedical researchers
Stanford researchers are engaged in a wide variety of COVID-19 research. Research IT can help with Stanford Hospital data and tools such as Electronic Data Capture, mHealth and secure computing platform.
COVID-19 data
Get near real time COVID-19 data with STRIDE web tools. You can also request access to the weekly refreshed pre-IRB OMOP dataset for network studies. Concierge service can bring you COVID-19 imaging and other data.
More information about STARR self-service tools and concierge services
REDCap Office Hours
Get help with study design at the office hours so REDCap can work harder and you can work smarter. The team can also advise on 21 CFR Part 11 compliant solutions on campus and much more.
mHealth 2.0
Stanford mHealth 1.0 platform has been used studies such as MyHeart Counts, and STREAM. The mHealth 2.0 platform adds support for Google's Firestore database via the Firebase SDK. Research IT is collaborating with the Stanford Byers Center for Biodesign to ensure the new Open Source mobile development framework CardinalKit is pre-integrated with the mHealth Platform to make it easier, faster, and cheaper than ever to build new mobile applications for research.
Nero Computing
Our HIPAA secure data science platform, Nero, is available to support COVID-19 projects and collaborations. It has an on-premise private cloud and Public Cloud, Google, integration.
Researchers on Nero using Google Cloud for COVID-19 research can request Cloud credits. Google announced $20M in Google Cloud credits for academic research to combat COVID-19. Researchers are invited to submit proposals directly to Google, or through the High Performance Computing Consortium (via the XSEDE portal).
Quick link to our self-service tools
Featured News
-
Aug 9, 2020:With the increase in Artificial Intelligence driven approaches, researchers are requesting unprecedented volumes of medical imaging data which far exceed the capacity of traditional on-premise client-server approaches for making the data research analysis-ready.
