BRAIN 2016

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## Opportunities and Challenges in Big Data Neuroscience

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.center[
Joshua T. Vogelstein
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{[bme](http://www.bme.jhu.edu/),[icm](http://icm.jhu.edu/),[cis](http://cis.jhu.edu/),[idies](http://idies.jhu.edu/),[kavli](http://kavlijhu.org/),[cs](http://engineering.jhu.edu/computer-science/), [ams](http://engineering.jhu.edu/ams/), [neuro](http://neuroscience.jhu.edu/)} | [jhu](https://www.jhu.edu/)
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questions: [jovo@jhu.edu](mailto:jovo at jhu dot edu)
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slides: <http://brainx.io/dc-sfn>
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Co-Founder: [NeuroData](http://neurodata.io) & [gigantum](http://gigantum.io)

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## Introductory Comments

- Please interrupt with questions!
- Please come work with us (postdocs & software engineers)!

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## Outline

- NeuroData Challenges
- Science 2.0

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# NeuroData

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### Challenges

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# Collect

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<div id="contentframe" style="position:relative; top: 10px; left: -100px;">
<iframe width="900" height="600" src="https://www.youtube.com/embed/gJdKSxKRtVI" frameborder="0" allowfullscreen></iframe>
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# Store

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### Multiresolution Space Filling Curve

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## Benchmark

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# Wrangle

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# Explore

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# Model

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### Challenges

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# Science 2.0

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## Where are we now?

- Data in the Cloud
- Pipelines in the Cloud
- Science in the Cloud

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<p style="color:white; position:absolute; TOP:50px; LEFT:50px; text-shadow:0px 0px 8px black;">
http://cloud.neurodata.io/nd/ca/kasthuri11cc/xy/2/2056,2856/3296,3896/2/
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</a>
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## Data in the Cloud

Anybody in the world can:

- [Visualize](http://viz.neurodata.io/project/Fear199/4/250/250/0/)
- [Download](http://cloud.neurodata.io/nd/ca/kasthuri11cc/xy/2/2056,2856/3196,3996/2/) arbitrary subvolumes

But not yet easily

- Reproduce & extend analysis

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## Pipelines in the Cloud

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## Pipelines in the Cloud

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## Pipeline in the Cloud

Anybody in the world can:

- [Visualize](http://viz.neurodata.io/)
- [Download](http://docs.neurodata.io/ndstore/) arbitrary subvolumes
- [Reproduce and extend](scienceinthe.cloud) analysis

But not yet quite:

- "Continuously integrated"

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## Science in the Cloud

- Maintain a single "science in the cloud" digital experiment

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- Make "tests" to perform quality control for  new data & analyses

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- Every new contribution should be tested before integrated

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- Everything should be able to run locally as well as in the cloud

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- Easy for anybody else to benefit/contribute

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## Science in the Cloud

1. Globally democratizes science
2. Accelerates discovery

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# References

- [Science in the Cloud](https://academic.oup.com/gigascience/article-lookup/doi/10.1093/gigascience/gix013)...arXiv, 2016
- [To the Cloud!](https://doi.org/10.1016/j.neuron.2016.10.033)... Neuron, 2016
- [Cosmos to Connectomes](http://www.sciencedirect.com/science/article/pii/S0896627314007466)...Neuron, 2014
- [Open Connectome Project](https://arxiv.org/abs/1306.3543)...SSDBM, 2013

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## Acknowledgments

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# Questions?

## Hiring Postdocs & Software Engineers Now!

e: [jovo@jhu.edu](mailto:jovo@jhu.edu)

w: [neurodata.io](http://neurodata.io), [gigantum.io](http://gigantum.io)