Lesson type
Difficulty level
This lecture covers a wide range of aspects regarding neuroinformatics and data governance, describing both their historical developments and current trajectories. Particular tools, platforms, and standards to make your research more FAIR are also discussed.
Difficulty level: Beginner
Duration: 54:58
Speaker: : Franco Pestilli
This lesson continues with the second workshop on reproducible science, focusing on additional open source tools for researchers and data scientists, such as the R programming language for data science, as well as associated tools like RStudio and R Markdown. Additionally, users are introduced to Python and iPython notebooks, Google Colab, and are given hands-on tutorials on how to create a Binder environment, as well as various containers in Docker and Singularity.
Difficulty level: Beginner
Duration: 1:16:04
Speaker: : Erin Dickie and Sejal Patel
Course:
KnowledgeSpace (KS) is a data discoverability portal and neuroscience encyclopedia that was developed to make it easier for the neuroscience community to find publicly available datasets that adhere to the FAIR Principles and to provide an integrated view of neuroscience concepts found in Wikipedia and NeuroLex linked with PubMed and 17 of the world's leading neuroscience repositories. In short, KS provides a single point of entry where reseaerchers can search for a neuroscience concept of interest and receive results that include: i. a description of the term found in Wikipedia/NeuroLex, ii. links to publicly available datasets related to the concept of interest, and iii. up-to-date references that support the concept of interests found in PubMed. APIs are available so that developers of other neuroscience research infrastructures can integrate KS components in their infrastructures. If your repository or your favorite repository is not indexed in KS, please contact us.
Difficulty level: Beginner
Duration: 6:14
Speaker: : Heather Topple
This lesson describes how DataLad allows you to track and mange both your data and analysis code, thereby facilitating reliable, reproducible, and shareable research.
Difficulty level: Intermediate
Duration: 59:34
Speaker: : Yaroslav O. Halchenko
This video gives a short introduction to the EBRAINS data sharing platform, why it was developed, and how it contributes to open data sharing.
Difficulty level: Beginner
Duration: 17:32
Speaker: : Ida Aasebø
This video introduces the key principles for data organization and explains how you could make your data FAIR for data sharing on EBRAINS.
Difficulty level: Beginner
Duration: 10:54
Speaker: : Maaike van Swieten
This video introduces the importance of writing a Data Descriptor to accompany your dataset on EBRAINS. It gives concrete examples on what information to include and highlights how this makes your data more FAIR.
Difficulty level: Beginner
Duration: 9:48
Speaker: : Ingrid Reiten
This video demonstrates how to find, access, and download data on EBRAINS.
Difficulty level: Beginner
Duration: 14:27
Speaker: : Maaike van Swieten
Course:
EyeWire is a game to map the brain. Players are challenged to map branches of a neuron from one side of a cube to the other in a 3D puzzle. Players scroll through the cube and reconstruct neurons with the help of an artificial intelligence algorithm developed at Seung Lab in Princeton University. EyeWire gameplay advances neuroscience by helping researchers discover how neurons connect to process visual information.
Difficulty level: Beginner
Duration: 03:56
Speaker: : EyeWire
