The Columbia MR Research Center hosted the first NYC- area Cloud Platform Workshop on March 25 2020. Guests included leading MR researchers from New York University, Yale, Cornell, Mt. Sinai, The City University of New York, the New York State Psychiatric Institute, The Nathan Kline Institute, Memorial Sloan-Kettering, and Long Island University. Representatives from Flywheel and Google also attended.
Thank you to Can Akgun (Flywheel), Simone Angela Schnaitter Winkler (Weill Cornell), Marco Comianos (Flywheel), Christoph W. Juchem (Columbia), Cindy Ervin (Google), Tijana Bzenic (Columbia), Zahi Fayad (Mt Sinai), Arthur Uhimov (Columbia), Kathleen J. Durkin (Columbia), Christopher Filippi (Columbia), J. Thomas Vaughan Jr. (Columbia), Duke Shereen (CUNY), Travis Richardson (Flywheel), Rick Nader (Long Island University), Arie Meir (Google), Stephen Fang (Google), Maneesha Aggarwal (Columbia), Jeannette Wing (Columbia), Stan Colcombe (Nathan Kline), Andrew Laine (Columbia), Alexandre Franco (Nathan Kline), George Shih (Weill Cornell), Elena A. Kaye (Memorial Sloan Kettering), Priti Balchandani (Mt Sinai), Spiro Pantazatos (Columbia), and Sairam Geethanath (Columbia) for attending.
“Data generated via biomedical research continues to outpace the ability to process, store, and analyze in many local environments. The NIH Science and Technology Research Infrastructure for Discovery, Experimentation, and Sustainability (STRIDES) Initiative allows NIH to explore the use of cloud environments to streamline NIH data use by partnering with commercial providers. NIH’s STRIDES Initiative provides cost-effective access to industry-leading partners to help advance biomedical research. These partnerships enable access to rich datasets and advanced computational infrastructure, tools, and services. The STRIDES Initiative is one of many NIH-wide efforts to implement the NIHStrategic Plan for Data Science, which provides a roadmap for modernizing the NIH-funded biomedical data science ecosystem.” – NIH Office of Data Science Strategy
Objective: To formulate a proposal for a cloud-based data acquisition, archiving and analysis platform for neuroscience in the Greater NY Area.
1.) What? A cloud platform, for scientific data acquisition, archiving and analysis
2.) Why? Combine and share large data sets, promoting collaboration and conserving costs
3.) Who? Greater NY area academic institutions with industry partners and NIH support
4.) Where? New York Area distributed platform
5.) When? Beginning now
6.) How? Organize interested participants, agree to a plan and submit a proposal.
1. On which research data do we focus? Neuroimaging? Behavior? Biomarkers? Metadata?
2. How do we want to acquire and store this data? Standards? Architecture? Reproducibility? Security? Privacy? Access? Cross-Institutional sharing?
3. What tools do we want? AI/ML? WIPS? Acquisition sequences? Algorithms?
4. How will we use our new cloud platform? Science? Training? Collaborations? Grants?