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The DANDI Archive now has 89+ publicly available neurophysiology datasets, standardized using NWB, including cutting edge data produced by the OpenScope project which has been designed and packaged to enable secondary analysis. In this hackathon, participants will concentrate on reanalyzing existing open datasets to generate new insights. Co-hosted by the OpenScope Program, DANDI Archive, Neurodata Without Borders (NWB), and The Kavli Foundation.
615 Westlake Ave N, Seattle, WA, 98115
Co-hosted by the OpenScope Program, DANDI Archive, Neurodata Without Borders (NWB), and The Kavli Foundation.
The goal of NeuroDataReHack is to train participants to generate new insights from existing neurophysiology data through secondary analysis. The DANDI Archive now has 89+ publicly available neurophysiology datasets, standardized using NWB, including cutting edge data produced by the OpenScope program which has been designed and packaged to enable secondary analysis. In this hackathon, participants will concentrate on reanalyzing existing open datasets to generate new insights. In addition, DANDI compute resources can be used to employ a growing ecosystem of analysis and visualization tools that work natively with NWB. Instructional activities during the hackathon will teach attendees about the open neurophysiology datasets available on the DANDI Archive, how to access and analyze data in the archive, and how to use the NWB standard to incorporate existing data into their scientific workflows.
Apply now to join us at the Allen Institute on October 3-5 for NeuroDataReHack, which will include in-depth training and in-person assistance in secondary analysis of featured open data. Experts will help participants understand these datasets and how to best use them for your research projects. Software developers will help participants create tools or visualizations that make the data easier to understand. Hackathon participants will be able to discuss their projects with representatives of the participating organizations who can support users of open data turn their research projects into publishable papers.
Hackathon participants will also be invited to apply for a one-year grant opportunity from The Kavli Foundation aimed at generating new discoveries from reanalysis of publicly available datasets in the NWB format. Additional information and application instructions will be provided at the hackathon.
Applications were due June 17, 2022. We are eager to host a diverse group of participants and we encourage graduate students, postdoctoral fellows, and early-career faculty to apply. Participation is limited to 30 people. Selection will be based on a short paragraph describing how you will benefit from this event, your CV, and your commitment to pursue the analysis of NWB files in depth. A limited amount of travel funding may be available to support participation. When planning your schedule, please note the official agenda will run from 9am-5pm each day of the hackathon.
We invite you to also attend the NWB and DANDI Virtual Data Showcase on Wednesday, September 28, where data publishers will present their dandisets to anyone interested in reusing the data. We will also have introductory talks about NWB, DANDI, and OpenScope. Anyone is welcome to register for this virtual event, even if you do not plan to go to NeuroDataReHack. NeuroDataReHack participants are required to attend the showcase to prepare for the hackathon.
Program chairs: Ben Dichter, Jerome Lecoq, Oliver Rübel, Satrajit Ghosh, Saskia de Vries, Ryan Ly, and Stephanie Albin
Organizational support: Allen Institute and The Kavli Foundation
This workshop is supported by National Institute Of Neurological Disorders And Stroke of the National Institutes of Health under Award Number U24NS113646 (OpenScope Program) and Award Number 5U24NS120057-02 (Neurodata Without Borders), and by the National Institute of Mental Health of the National Institutes of Health under Award Number 5R24MH117295-03 (DANDI). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.