NeuroStorm: Accelerating Brain Science Discovery in the Cloud
Neuroscientists are now able to acquire data at staggering rates across spatiotemporal scales. However, our ability to capitalize on existing datasets, tools, and intellectual capacities is hampered by technical challenges. The key barriers to accelerating scientific discovery correspond to the FAIR...
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| creator | Kiar, Gregory Anderson, Robert J Baden, Alex Badea, Alexandra Bridgeford, Eric W Champion, Andrew Chandrashekhar, Vikram Collman, rest Duderstadt, Brandon Evans, Alan C Engert, Florian Falk, Benjamin Glatard, Tristan Gray Roncal, William R Kennedy, David N Maitin-Shepard, Jeremy Marren, Ryan A Onyeka Nnaemeka Perlman, Eric Seshamani, Sharmishtaas Trautman, Eric T Tward, Daniel J Valdés-Sosa, Pedro Antonio Wang, Qing Miller, Michael I Burns, Randal Vogelstein, Joshua T |
| description | Neuroscientists are now able to acquire data at staggering rates across spatiotemporal scales. However, our ability to capitalize on existing datasets, tools, and intellectual capacities is hampered by technical challenges. The key barriers to accelerating scientific discovery correspond to the FAIR data principles: findability, global access to data, software interoperability, and reproducibility/re-usability. We conducted a hackathon dedicated to making strides in those steps. This manuscript is a technical report summarizing these achievements, and we hope serves as an example of the effectiveness of focused, deliberate hackathons towards the advancement of our quickly-evolving field. |
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| subjects | Brain Interoperability Reproducibility Staggering |
| title | NeuroStorm: Accelerating Brain Science Discovery in the Cloud |
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