Uploaded March 2021 | Updated September 2026, 1 week ago
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.
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.
About RIOT Science Club:
The RIOT Science Club gives talks/workshops on Reproducible, Interpretable, Open & Transparent Science.
Slides and/or recordings of all past and future RIOTS Clubs are stored on our Open Science Framework Page: osf.io/8y7h2/. You can also subscribe to our mailing list, to receive regular information on upcoming talks and workshops, any local events and vacancies for positions in open and reproducible research.
You can also find us on Twitter @riotscienceclub.
If you would like to give a talk or workshop for The RIOTS Club, please email riotscienceclub@kcl.ac.uk.
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.
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.
About RIOT Science Club:
The RIOT Science Club gives talks/workshops on Reproducible, Interpretable, Open & Transparent Science.
Slides and/or recordings of all past and future RIOTS Clubs are stored on our Open Science Framework Page: osf.io/8y7h2/. You can also subscribe to our mailing list, to receive regular information on upcoming talks and workshops, any local events and vacancies for positions in open and reproducible research.
You can also find us on Twitter @riotscienceclub.
If you would like to give a talk or workshop for The RIOTS Club, please email riotscienceclub@kcl.ac.uk.
