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UW BIDS Meeting Held for Developers and Maintainers

  • May 28, 2024
  • 1 min read

Last month, the West Hub co-supported a development meeting for the Brain Imaging Data Structure (https://bids.neuroimaging.io/) community at the University of Washington (UW) eScience Institute in Seattle. As a community-developed standard for organizing and describing data from neuroscience experiments, the Brain Imaging Data Structure provides a user-friendly platform for researchers to organize, describe and share neuroimaging and behavioral data.

 

"Our April meeting allowed developers and maintainers to discuss a variety of topics including the development of extensions to the standard related to electrophysiological neuroscience data," said Ariel Rokem, a research associate professor at UW Department of Psychology and a data science fellow at the eScience Institute. "We also discussed atlases that describe brain measurements in common frames of reference."

 

Rokem said that the meeting was an opportunity for members of this widely distributed community to gather and informally discuss additional issues such as those related to governance and community management.


More than 20 international participants met in Seattle for the Brain Imaging Data Structure development meeting last month.


48 Comments


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UW BIDS meetings are a great way to keep the community aligned on neuroimaging standards. I've been using https://aiphotoonline.com

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Love that the West Hub co-supported this UW BIDS meeting for the community. Organizing and sharing neuroimaging data is so much smoother with BIDS, and I've been using https://wanxaivideo.com

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Love that the West Hub co-supported this UW eScience meeting for the BIDS community. Organizing and sharing neuroimaging data is so much easier with BIDS—I've been using https://hy-3d.net

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Love that the West Hub co-supported this UW eScience meetup—having devs and maintainers in one room really accelerates BIDS adoption. I've been using https://samaudiotool.com

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The West Big Data Innovation Hub is supported by the National Science Foundation through awards #1916573, 1916481, and 1915774. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Learn more about the NSF Big Data Hubs community here.

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