Lesson type
Difficulty level
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This session provides users with an introduction to tools and resources that facilitate the implementation of FAIR in their research.
Difficulty level: Beginner
Duration: 38:36
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 explains what metadata is, why it is important, and how you can organize your metadata to increase the FAIRness of your data on EBRAINS.
Difficulty level: Beginner
Duration: 17:23
Speaker: : Ulrike Schlegel
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
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
In this lesson, users will learn about the importance of proper citation of software resources and tools used in neuroscientific research.
Difficulty level: Beginner
Duration: 58:00
Speaker: : Neil Chue Hong & Daniel Katz
Since their introduction in 2016, the FAIR data principles have gained increasing recognition and adoption in global neuroscience. FAIR defines a set of high level principles and practices for making digital objects, including data, software and workflows, Findable, Accessible, Interoperable and Reusable. But FAIR is not a specification; it leaves many of the specifics up to individual scientific disciplines to define. INCF has been leading the way in promoting, defining and implementing FAIR data practices for neuroscience. We have been bringing together researchers, infrastructure providers, industry and publishers through our programs and networks.
Difficulty level: Beginner
Duration: 1:28
This lecture presents the Medical Informatic Platform's data federation for Traumatic Brain Injury.
Difficulty level: Intermediate
Duration: 25:55
Speaker: : Stefano Finazzi
This lecture gives insights into the Medical Informatics Platform's current and future data privacy model.
Difficulty level: Intermediate
Duration: 17:29
Speaker: : Yannis Ioannidis
This lecture explains the concept of federated analysis in the context of medical data, associated challenges. The lecture also presents an example of hospital federations via the Medical Informatics Platform.
Difficulty level: Intermediate
Duration: 19:15
Speaker: : Yannis Ioannidis
In this lesson, you will learn about the BRAIN Initiative Cell Atlas Network (BICAN) and how this project adopts a federated approach to data sharing.
Difficulty level: Beginner
Duration: 11:23
Speaker: : Owen White
This talks presents an overview of the potential for data federation in stroke research.
Difficulty level: Intermediate
Duration: 21:37
Speaker: : Maurizio A. Leone
This lecture explains the need for data federation in medicine and how it can be achieved.
Difficulty level: Intermediate
Duration: 27:09
Speaker: : Philippe Ryvlin