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AFQ-Browser: A browser-based tool for visualization, analysis, and sharing of diffusion MRI data #26

@richford

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@richford

Title
AFQ-Browser: A browser-based tool for visualization, analysis, and sharing of diffusion MRI data

Presentor and Affiliation
Adam Richie-Halford, University of Washington, @richford
Ariel Rokem, University of Washington, @arokem

Collaborators
Jason Yeatman, Stanford University, @jyeatman
Anisha Keshavan, Child Mind Institute, @akeshavan
Joshus K. Smith, University of Washingtojn, @anotherjoshsmith

Github Link
AFQ-Browser

Abstract (max. 200 words):
Human neuroscience research faces several challenges with regards to reproducibility. While scientists are generally aware that data sharing is important, it is not always clear how to share data in a manner that allows other labs to understand and reproduce published findings. We will demonstrate a new tool, AFQ-Browser, that builds an interactive website as a companion to a diffusion MRI study. Because AFQ-Browser is portable—it runs in any web-browser—it can facilitate transparency and data sharing. By leveraging new web-visualization technologies to create linked views between different dimensions of the dataset (anatomy, diffusion metrics, subject metadata), AFQ-Browser facilitates exploratory data analysis, fueling new discoveries based on previously published datasets. In an era where Big Data is playing an increasingly prominent role in scientific discovery, so will browser-based tools for exploring high-dimensional datasets, communicating scientific discoveries, aggregating data across labs, and publishing data alongside manuscripts.

Preferred Session

  1. Demo: New advances in open neuroimaging methods
  2. Talk: Web-based solutions in neuroscience
  3. Lightning Talk: Neuroscience toolkit

Additional Context
Nature Communications 9, Article number: 940 (2018)

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