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Categories: Cloud google

July 31, 2018

The National Institutes of Health, with the help of Google, last week launched STRIDES – Science and Technology Research Infrastructure for Discovery, Experimentation, and Sustainability – intended to “harness the power of commercial cloud computing and provide NIH biomedical researchers access to the most advanced, cost-effective computational infrastructure, tools and services available.”

As described by NIH, “The initial agreement with Google Cloud creates a cost-efficient framework for NIH researchers, as well as researchers at more than 2,500 academic institutions across the nation receiving NIH support, to make use of Google Cloud’s storage, computing, and machine learning technologies. In addition, the partnership will involve collaborations with NIH’s Data Commons Pilot — a group of innovative projects testing new tools and methods for working with and sharing data in the cloud — and enable the establishment of training programs for researchers at NIH-funded institutions on how to use Google Cloud Platform.”

For years NIH has recognized that big data and sophisticated computational resources are essential for driving modern biomedical research. There have been many efforts to enhance NIH HPC/cloud capabilities and put them to use, some quite targeted such as the Cancer Moonshot program tackling cancer. Recently, NIH has been working to tie its various efforts together and to leverage both big data sciences and cloud computing to maximize reach and effect in the researcher community.