INCF Assembly 2022 - Training Day 1

The workshop is organized by the German National Research Data Infrastructure Initiative Neuroscience (NFDI-Neuro). The initiative is community driven and comprises ca. 50 contributing national partners and collaborates. NFDI-Neuro partners with EBRAINS AISB, the coordinating entity of the EU Human Brain Project and the EBRAINS infrastructure. We will introduce common methods that enable digital reproducible Neuroscience. Each class of research data management method is first introduced conceptually - followed by a practical hands-on session. For hands-on sessions we will use the Collaboratory by EBRAINS as a joint digital workspace providing a range of functionalities including compute and storage resources.

The workshop is organized by the German National Research Data Infrastructure Initiative Neuroscience (NFDI-Neuro). The initiative is community driven and comprises ca. 50 contributing national partners and collaborates. NFDI-Neuro partners with EBRAINS AISB, the coordinating entity of the EU Human Brain Project and the EBRAINS infrastructure. We will introduce common methods that enable digital reproducible Neuroscience. Each class of research data management method is first introduced conceptually - followed by a practical hands-on session. For hands-on sessions we will use the Collaboratory by EBRAINS as a joint digital workspace providing a range of functionalities including compute and storage resources.

This course contains an introduction to currently available reference atlases for mouse and rat brain. It will demonstrate how the 3D brain templates for the reference atlases are acquired, how they are used as a basis for delineating the structures of the brain, how they can be enriched by other data modalities, and how they can be used as a basis for assigning location (coordinate based or semantic) to a wide range of structural and functional data collected from the brain. The course will also outline examples of data system employed to organize neuroscience data collections in the context of reference atlases as well as analytical workflows applied to the data, with opportunities for hands-on exploration of selected tools.

Hierarchical Event Descriptors (HED) fill a major gap in the neuroinformatics standards toolkit, namely the specification of the nature(s) of events and time-limited conditions recorded as having occurred during time series recordings (EEG, MEG, iEEG, fMRI, etc.). Here, the HED Working Group presents an online INCF workshop on the need for, structure of, tools for, and use of HED annotation to prepare neuroimaging time series data for storing, sharing, and advanced analysis. 

This workshop will focus on teaching researchers how to annotate BIDS datasets to make them more findable and reusable. Attendees will learn how to create un-ambiguous data dictionaries (JSON sidecar files) for BIDS formatted datasets using the latest tools from the NIDM and ReproNim efforts. 

This training will cover the basics of Neurodata Without Borders (NWB), a data standard for neurophysiology data designed to maximize reusability of the data. We will demonstrate converting experiment data to NWB in Python and publishing on the DANDI Archive. Then we will give a tour of the available training resources for automated conversion from proprietary formats, and for building and publishing extensions. We will conclude with a Q+A section to help users with specific conversion questions.