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Description
Project info
Title: FLOW - Integrating EEG analysis scripts in a cloud-based database management system
Project lead: Evan Hathaway, [Ian Brown] (https://github.com/ianbrown9475)
Timezone: Los Angeles UTC-7
Description:
Brain Electrophysiology Laboratory is proud to present FLOW (Forward Looking Operations Workflow), an all-in-one solution for EEG database management, ERP analysis pipelines, and visualization with AWS cloud or on-premises server implementations. We use containerization technology to run ERP analysis Python scripts as modular units with I/O to the FLOW database, thus facilitating reproducibility across different stages of analysis. The containerization approach allows easy integration of existing analysis scripts, thus making FLOW an environment that can be adjusted to lab needs.
BEL aims to provide the community with the means to write their own EEG analysis workflows and share them with others. We are working to create an environment where researchers can pilot workflows in a live Jupyter Notebooks integration of FLOW, then convert these to streamlined FLOW workflows which can be shared with the community. Our project will help guide participants through creating, packaging, and containerizing analysis scripts using open source Python analysis tools and Docker. We will then demonstrate how these workflows can be integrated in FLOW for data management, analysis, and visualization through our Sourcerer software. We will do this via a live instance of FLOW that will be up throughout the course of the hackathon. We invite interested parties to try out FLOW for themselves in order to see what this software has to offer.
Link to project:
- https://github.com/BEL-Public/eeg-workflows
- Our live FLOW instance (Contact project leads to create an account)
Mattermost handle: @ephathaway, @ianbrown9475
Goals for the OHBM Brainhack
- Integrate an EEG analysis workflow from an outside collaborator into FLOW
Good first issues:
- Adding workflows BEL-Public/eeg-workflows#4: Take a look at our contribute section to learn how to add your own EEG analysis workflow to FLOW
- Artifact detection BEL-Public/eeg-workflows#5: Improve the EEG artifact detection module by implementing detection of specific artifact types
Skills:
- EEG/ERP analysis
- Python (beginner)
- Jupyter Notebooks
- Docker (helpful, but not required)
- Git - 2
Chat channel: https://mattermost.brainhack.org/brainhack/channels/brain-electrophysiology-laboratory---flow
Image for the OHBM brainhack website
Project submission
Submission checklist
Once the issue is submitted, please check items in this list as you add under 'Additional project info'
Please include the following above (all required):
- Link to your project: could be a code repository, a shared document, etc. See here
- Include your Mattermost handle (i.e. your username). If you do not have an account, please sign up here.
- Goals for the OHBM Brainhack: describe what you want to achieve during this brainhack. See here.
- Flesh out at least 2 "good first issues": those are tasks that do not require any prior knowledge about your project, could be defined as issues in a GitHub repository, or in a shared document, cf here.
- Skills: list skills that would be particularly suitable for your project. We ask you to include at least one non-coding skill, cf. here.
- Chat channel: A link to a chat channel that will be used during the OHBM Brainhack. This can be an existing channel or a new one. We recommend using the Brainhack space on mattermost, cf. here.
- Provide an image of your project for the OHBM brainhack website
You can also include information about (all optional):
- Someone co-leading the project in the timeslot you have not selected to provide additional visibility.
- Number of participants, cf. here
- Twitter-size summary of your project pitch, cf. here
- Set up a kanban board on your repository to better divide the work and keep track of things, cf here
- Project snippet for the OHBM Brainhack website, cf. here
We would like to think about how you will credit and onboard new members to your project. We recommend reading references from this section. If you'd like to share your thoughts with future project participants, you can include information about (recommended):
- Specify how will you acknowledge contributions (e.g. listing members on a contributing page).
- Provide links to onboarding documents if you have some.
QMENTA has agreed to sponsor the event and provide computational resources through their platform.
- Get in touch with QMENTA through their Brain Innovation Hub Slack space, if you think your project would benefit from their support.
