This course consists of a three-part session from the second day of INCF's Neuroinformatics Assembly 2023. The lessons describe various on-going efforts within the fields of neuroinformatics and clinical neuroscience to adjust to the increasingly vast volumes of brain data being collected and stored. These talks also highlight certain developments in neuroinformatic infrastructure intended to federate the research data ecosystem in a way which will enable research consortia across Europe and beyond to collect, process, and share sensitive data with GDPR-compliance. This course also includes two lectures which discuss technical and security implications when implenting virtual research environments (VREs).
Session 5: Infrastructure for Sensitive Data
This lesson is the first part of a three-part series on the development of neuroinformatic infrastructure to ensure compliance with European data privacy standards and laws.
This is the second of three lectures around current challenges and opportunities facing neuroinformatic infrastructure for handling sensitive data.
This is the third and final lecture of this course on neuroinformatics infrastructure for handling sensitive data.
In this lecture, you will learn about virtual research environments (VREs) and their technical limitations, (i.e., a computing platform and the software stack behind it) and the security measures which should be considered during implementation.
This lecture goes into detailed description of how to process workflows in the virtual research environment (VRE), including approaches for standardization, metadata, containerization, and constructing and maintaining scientific pipelines.