This course corresponds to the first session of talks given at INCF's Neuroinformatics Assembly 2023. The sessions consists of several lectures, focusing on using the principles of FAIR (findability, accessibility, interoperability, and reusability) to inform future directions in neuroscience and neuroinformatics. In particular, these talks deal with the development of knowledge graphs and ontologies.
Session 1: A FAIR Roadmap for Knowledge Graphs and Ontologies
Course Features
Lectures
Videos
Lessons of this Course
1
1
Duration:
20:29
Speaker:
This lesson provides an introduction the International Neuroinformatics Coordinating Facility (INCF), its mission towards FAIR neuroscience, and future directions.
2
2
Duration:
19:10
Speaker:
In this lesson, you will learn about data management within the Open Data Commons (ODC) framework, and in particular, how Spinal Cord Injury (SCI) data is stored, shared, and published. You will also hear about Frictionless Data, an open-source toolkit aimed at simplifying the data experience.
3
3
Duration:
25:44
Speaker:
This talk describes the NIH-funded SPARC Data Structure, and how this project navigates ontology development while keeping in mind the FAIR science principles.
4
4
Duration:
13:37
Speaker:
This talk goes over Neurobagel, an open-source platform developed for improved dataset sharing and searching.
