-
Notifications
You must be signed in to change notification settings - Fork 7
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
NeuroDesk - A scalable and easy to use data analysis environment for reproducible neuroimaging #2
Comments
hi @ohbm/project-monitors: My project is ready! |
@matteomancini - I see the project is in the "Needs revision" stage, but I can't find what I should change? Can you point me to the revisions required? |
The revision is what we do. :) We notify you if there are any suggestions. |
Can you, please, specify the optional and the recommended points or untick the corresponding box(es)? I assume the documentation is contained within the repo. Have you also contacted QMENTA? |
Dear @tiborauer - I unticked the boxes for the optional components. I am not planning on contacting QMENTA. |
FYI, this project is currently listed as "Learn and Enhance BrainIAK Tutorials: From Basics to Advanced fMRI Analyses" on the website |
Sorry! I have just updated the repo. The website should also reflect it soon. |
Updated mattermost channel is here https://mattermost.brainhack.org/brainhack/channels/virtual-neuro-machine-vnm |
Project info
Title: NeuroDesk - A scalable and easy to use data analysis environment for reproducible neuroimaging
Project lead: @stebo85
**[Timezone] Brisbane UTC+10
Description: Neuroimaging researchers require a diverse collection of bespoke command-line and graphical tools to analyse data and answer research questions. Installing and maintaining a neuroimaging software setup is challenging and often results in un-reproducible environments. Package managers and software repositories can help with this and NeuroDebian is a well-known example that drastically improves the neuroscience software distribution. However, a limitation of NeuorDebian is the inability to install neuroscientific software on Linux flavours commonly used on high performance computing systems or Windows and Macintosh computers. Researchers therefore still struggle to get access to the required software or to move analyses between different computing platforms due to the setup work required - ultimately limiting interoperability and reproducibility and impeding the broad sharing of analysis pipelines with the community. Container technology, such as docker or singularity, enables the execution of software on different operating systems and could aid in distributing scientific software. We are developing NeuroDesk, a platform build on container technology for processing and analysing neuroimaging data with the aim to lower the barrier of using various neuroimaging software in a reproducible environment, so that researchers spend less time on setting up and maintaining an analysis environment.
Two minute video introducing the project: https://youtu.be/JLv_5fycugw
Link to project: https://github.com/NeuroDesk
Mattermost handle: @sbollmann_mri
Goals for the OHBM Brainhack:
Good first issues:
Skills:
Chat channel:
https://mattermost.brainhack.org/brainhack/channels/virtual-neuro-machine-vnm
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):
You can also include information about (all optional):
title: "NeuroDesk - A scalable and easy to use data analysis environment for reproducible neuroimaging"
image: https://user-images.githubusercontent.com/4021595/119743595-9312fb80-becd-11eb-9718-68239c08d085.jpg
details: "NeuroDesk is a platform build on container technology for processing and analysing neuroimaging data with the aim to lower the barrier of using various neuroimaging software in a reproducible environment, so that researchers spend less time on setting up and maintaining an analysis environment."
More information 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):
QMENTA has agreed to sponsor the event and provide computational resources through their platform.
The text was updated successfully, but these errors were encountered: