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Abstract (max. 200 words):
brainlife.io is a small project to build an online platform for reproducible neuroscience. It provides mechanisms for analyzing and visualizing data, publishing algorithms, and full research-workflows by embedding data analysis and visualization in a mixture of public and private cloud computing systems. We will demonstrate the platform interface for data processing and visualization. We will also show: (1) How your analyses code can be registered as brainlife.io App from a GitHub repository. Apps can be publicly shared and executed on several cloud computing platforms: brainlife.io/apps. (2) How your neuroimaging data can be analyzed and visualized publicly and privately: brainlife.io/project. (3) The platform’s unique method for publishing the full scientific research assets (code and data) in a study via open cloud services (Avesani et al., Scientific Data, in press): brainlife.io/pubs. Finally, we will discuss interoperability across major open science projects such as brainlife.io, OpenNeuro.org, the BIDS standards, DataLad, and Boutiques.
Preferred Session
Wednesday or Monday Afternoon
3. Demo: New advances in open neuroimaging methods
4. Web-based solutions in neuroscience
OR
3. Collaborative research and team science
The text was updated successfully, but these errors were encountered:
Hi @francopestilli, I’m happy to tell you that we’d like to host your presentation as a demo/tutorial talk in the OSR in the Web-based solutions for neuroscience session. This will be a talk of 20 minutes + 5 minutes of questions. We’ll update the program in the ReadMe.md shortly. We’d much appreciate it if you could submit slides and other presentation material to the presentations folder by means of a Pull Request to this repository, preferably but not necessarily before the presentation.
By all means @francopestilli. Depending on what you're going to show, maybe a markdown file with the links or URIs to the platform and/or the datasets could be useful.
Title
Demo of brainlife.io cloud processing and visualization with cross-platforms interoperability, OpenNeuro, BIDS, DataLad, and Boutique.
Presentor and Affiliation
Franco Pestilli, Indiana University @francopestilli
Soichi Hayashi, Indiana University @soichih
Collaborators and participants
@chrisgorgo , @poldrack, @jbpoline, @yarikoptic, @effigies, @mih, @glatard
Github Link (if applicable)
https://github.com/brainlife
Abstract (max. 200 words):
brainlife.io is a small project to build an online platform for reproducible neuroscience. It provides mechanisms for analyzing and visualizing data, publishing algorithms, and full research-workflows by embedding data analysis and visualization in a mixture of public and private cloud computing systems. We will demonstrate the platform interface for data processing and visualization. We will also show: (1) How your analyses code can be registered as brainlife.io App from a GitHub repository. Apps can be publicly shared and executed on several cloud computing platforms: brainlife.io/apps. (2) How your neuroimaging data can be analyzed and visualized publicly and privately: brainlife.io/project. (3) The platform’s unique method for publishing the full scientific research assets (code and data) in a study via open cloud services (Avesani et al., Scientific Data, in press): brainlife.io/pubs. Finally, we will discuss interoperability across major open science projects such as brainlife.io, OpenNeuro.org, the BIDS standards, DataLad, and Boutiques.
Additional Context
1. Manage Data on brainlife.io
2. Process Data on brainlife.io
3. Visualize results on brainlife.io
4. Massive data analysis on brainlife.io
5. Imported open datasets from OpenNeuro.org
6. Related: OpenNeuro.org Demo
7. Making Open Neuroscience Infrastructures Interoperable
Preferred Session
Wednesday or Monday Afternoon
3. Demo: New advances in open neuroimaging methods
4. Web-based solutions in neuroscience
OR
3. Collaborative research and team science
The text was updated successfully, but these errors were encountered: