[Seminar] "Digitization of reproducible data analysis workflows", Prof. Sonja Grün

Dear all,

Neural Computation Unit (Doya Unit) would like to invite you to a seminar as follows.

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Date: Wednesday, November 1
Time: 11:00-
Venue: Meeting Room D015 - L1 Bldg
 

Speaker: Prof. Sonja Grün
Institute of Neuroscience and Medicine (INM-6)
Institute of Advanced Simulation (IAS-6)
Research Center Jülich, Jülich, Germany

Theoretical Systems Neurobiology RWTH Aachen University, Aachen, Germany

Title: Digitization of reproducible data analysis workflows.

Abstract: The workflows that cover the experimental recording of neuronal data up to the publication of figures that illustrate neuroscientific analysis results are interwoven and complex. Unfortunately, current implementations of such workflows of electrophysiological research are far from being automatized, and software supporting such a goal is largely in development or missing. In consequence, the level of reproducibility of data analysis is poor compared to other scientific disciplines. Although the problem is well-known and leads to ineffective, unsustainable science, there are no ready to use solutions for complete, provenance-tracked workflows available for our field. We are in the process of building components for such workflows, such as e.g. meta data integration, or an open source electrophysiology analysis toolbox. In this talk I will present the current state of these developments, including our contributions to the Human Brain Project.

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We hope to see many of you.
Sincerely,
Emiko Asato
Neural Computation Unit