Working with large, open-source neuroimaging datasets by Corey Horien

About the speaker

Corey Horien is an MD-PhD student in Todd Constable’s lab at Yale School of Medicine. His research focuses on individual differences in fMRI data in the developing brain in health and disease. He recently wrote “A hitchhiker’s guide to working with large, open-source neuroimaging datasets”.
Twitter: @coreyhorien

About the talk

Large datasets are growing increasingly common in neuroimaging. Due to the simultaneous increasing popularity of open science, these state-of-the-art samples are more accessible than ever. Nevertheless, their sheer size presents a new set of challenges that might cause difficulties. In this talk, Corey will discuss tips for working with large datasets from the end-user’s perspective. He will cover all aspects of the data lifecycle: from what to consider when downloading and storing the data to tips on how to become acquainted with a dataset one did not collect and what to share when communicating results. Emphasis is placed on practical solutions, as well as lessons his lab has learned working with large samples.