Symposium: FAIR data management and data sharing in neuroscience

Data heterogeneity, complexity, size, and the demand to re-use valuable data make it increasingly important to receive infrastructural support for data management. Development of such support is currently built up by the Nationale Forschungsdateninfrastruktur (NFDI, http://dfg.de/nfdi). This symposium illustrates how sharing FAIR (Findable, Accessible, Interoperable, Reusable) research data can lead to novel and unexpected results that otherwise would not be possible to achieve.

Maryann Martone will introduce the topic by presenting her specific experiences and challenges for data management and data sharing for neuroscientists. She has led the Neuroscience Information Framework (NIF) to establish a uniform resource description framework for neuroscience and has been involved in establishing the FAIR principles for data management.

Jens Kremkow will talk about OpenScope, a project by the Allen Institute for Brain Science, Seattle, USA, where electrophysiological experiments are conducted by neuroscientists and afterwards shared on a standardized platform with external researchers who can access the data for studies of complex brain functions, like predictive coding in visual perception.

Michael Hanke will speak about the shared use and exploitation of the extensive fMRI dataset studyforrest, including many hours of fMRI brain scans, structural brain scans, and eye-trackingdataof subjects watching the movieForrest Gump. This dataset has been released to explore high-level human cognition under complex, natural stimulation and to demonstrate the opportunities of open science in neuroimaging.

Sonja Grün will report on her experience with the development of collaborative workflows for data analysis of massively parallel neurophysiological data and their interaction with behavior. This effort has identified a number of important steps to ensure data integrity and usability when sharing data with another lab.

Natalie Schroyens will speak about the limited replicability and evidence for publication bias within the memory reconsolidation field.
Finally, Adina Wagner will speak about educating and training for a FAIR future.