Open Workflows (Keynote): Open and Shared Representations for Neuroscience

[jsheunis]

Open and Shared Representations for Neuroscience

By Paola Di Maio, Center for AI Learning/Neuroscience

• Theme: Open Workflows
• Format: Keynote

Abstract

Recent advances in neuroscience use state of the art imaging to reveal knowledge maps in specific areas of the human brain.

To leverage the synergy between data science and neuroscience, it is necessary to establish a correspondence between the concepts and logical constructs in the respective domains.

In this talk I discuss the importance of open and shared knowledge representation mechanisms and artefacts
and present open issues and a research roadmap to achieve open data integration for neuroscience using a knowledge integration approach.

Useful Links

https://docs.google.com/presentation/d/18HnqHcOMIJOAHwoK_R3Sdrz3nrK4AixRO0vnH8d07K0/edit?usp=sharing

Tagging @StarSeed

[Starborn]

Cool, thanks!!

7. Please confirm on your GitHub issue (Open Workflows (Keynote): Open and Shared Representations for Neuroscience #24) that you are happy to prepare your talk to fit within the Open Data 2.0 theme, and in the Demo format.

yes happy. please let me know if something is to be done

_

[Starborn]

4. Confirm your talk title and abstract are correct by commenting on your github issue #24 by 6th June.

_yep, - but my talk is not a demo

[Starborn]

OK to change the theme
but it is not a demo - but seven minutes is OK if longer slot available let me know thanks-

[jsheunis]

Hi! Thanks for all the updates, we have followed up via email :)

[Starborn]

Thank you for having me, I d like to add a few follow up notes, because I prepared the slides for a 7 minutes slots, and the actual recording overuns by a few minutes. Additional points I d like to make: at the moment, brain data as we find it scattered in various repos/effort does not reference any ontology/schema, although a few ontologies and schemas exist but it is not clear if/how they are referenced in the datasets. so I d like to know why folks producing brain data are not referencing the ontologies.

[Starborn]

Slides of my talk here: Open and Shared Representation for Brain Data/Neuroscience