@article {49095,
	title = {NeuroStorm: accelerating brain science discovery in the cloud.},
	journal = {arXiv},
	year = {2018},
	month = {2018 Mar 09},
	abstract = {<p>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.</p>
},
	url = {https://arxiv.org/abs/1803.03367},
	author = {Kiar, Gregory and Anderson, Robert J and Baden, Alex and Badea, Alexandra and Bridgeford, Eric W and Champion, Andrew and Chandrashekar, Jayaram and Collman, Forrest and Duderstadt, Brandon and Evans, Alan C and Engert, Florian and Falk, Benjamin and Glatard, Tristan and Roncal, William Gray and Kennedy, David N and Maitlin-Shepard and Marren, Ryan A and Nnaemeka, Onyeka and Perlman, Eric and Seshamani, Sharmishtaas}
}
