Making Open Neuroscience Infrastructures Interoperable 3.0 – Now an ONLINE event

This is being transformed into an online event due to government and McGill coronavirus (COVID-19) directives. 

The Making Open Neuroscience Infrastructures Interoperable (MONII) 3.0 Workshop brings together neuroinformatics experts to explore strategies for ensuring neuroscience data management and processing is FAIR and interoperable.

Wed, 18 March 2020 – 1:00 PM – 6:00 PM

Who should come: Neuroinformatics experts and students.

Free Registration click here – via EventBrite

Location: Online event.

The MONII 3.0 Workshop is a half day conference will bring together neuroimaging and genomics data management and processing neuroinformatics experts to advance standardization of these research objects through shared metadata. The challenges and possible solutions for making neuroscience data management and processing FAIR, as well as the impact on neuroscience and neurology research will be presented and discussed. 

Keynote speakers:

    • Erin Dickie, CAMH, Department of Psychiatry, University of Toronto, Canada
    • Franco Pestilli, Department of Psychology, University of Indiana, USA
    • David Kennedy, University of Massachusetts Medical School, USA

Neuroscience informatics infrastructure designed to find, host, process and publish either results or derived data are key to most research projects, especially in the context of big and open neuroscience data. Many such infrastructures exist, whether they specialize in the data management, data sharing and dissemination, or  computational aspects such as workflows and launching computations locally or in a cloud.

To efficiently answer specific scientific questions generally requires a seamless ability to fetch data or results from different locations and to harmonize and process the data on different infrastructures; hence the need for interoperablity among neuroinformatics infrastructures. This can be achieved through the emergence of well accepted standards for data communication, data processing, and for sharing of derived data or the resulting analysis, making these research objects FAIR (Findable Accessible Interoperable and Reusable).

Organizer: Dr Jean-Baptiste (JB) Poline is an Associate Professor in the Department of Neurology and Neurosurgery at McGill; the co-Chair of the NeuroHub and Chair of the Technical Steering Committee for the Canadian Open Neuroscience Platform (CONP) at the Montreal Neurological Institute & Hospital (the NEURO); and a Primary Investigator at the Ludmer Centre for Neuroinformatics & Mental Health


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