NeuroDataReHack on NWB datasets9 June 2022
The Allen Institute OpenScope Program, DANDI Archive, Neurodata Without Borders (NWB), and The Kavli Foundation are joining up to arrange a hackathon for secondary analysis of neurophysiology data on October 3 - 5, 2022 at the Allen Institute.
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.
The goal of the hackathon is to train participants to generate new insights from this existing data. Attendees will learn about the open neurophysiology datasets available on the DANDI Archive, how to access and analyze data in the archive, and how to use the INCF-endorsed NWB standard to incorporate existing data into their scientific workflows.
During the hackathon, experts will help the participants understand the datasets and how to best use them for their research projects, and software developers will help participants create tools or visualizations that make the data easier to understand. Hackathon participants will also be able to discuss their projects with representatives of the participating organizations, who can support users of open data in turning their projects into publishable papers.
Hackathon participants will 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.
On September 28, 2022, a public NWB and DANDI Virtual Data Showcase will be held (as a pre-event to the hackathon), where data publishers will present their dandisets to anyone interested in reusing the data. Introductory talks will present NWB, DANDI, and OpenScope. All are welcome to register for this virtual event!
NeuroDataReHack applications are due June 17, 2022.
Neurodata Without Borders (NWB) is a broad initiative to standardize neuroscience data and to remove barriers to data sharing among neuroscientists. The NWB format is a data standard for neurophysiology that provides neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology data. NWB was endorsed as a standard by INCF in 2020. It enables data sharing and reuse and facilitates data analysis both within and across labs. Several laboratories, including the Allen Institute for Brain Science, have wholeheartedly adopted NWB, and the DANDI archive allows researchers to publish and share NWB data.
Read more about the initiative: Neurodata Without Borders: Creating a Common Data Format for Neurophysiology (2015)