Avoiding the Tower of Babel: the Role of Data Description Standards in Biomedical Imaging – YouTube

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Avoiding the Tower of Babel: the Role of Data Description Standards in Biomedical Imaging

**Note: The video is silent between 33:48-35:55 due to technical difficulties. After this time, the lecturer returns. We apologize for this inconvenience.

Chris Gorgolewski, Ph.D., Co-director of the Stanford Center for Reproducible Neuroscience present webinar, “Avoiding the Tower of Babel – The Role of Data Description Standards in Biomedical Imaging.”

Video Description
With growing accessibility of data, we are witnessing an acceleration in the rate of scientific discoveries enabled by data reuse. However, one barrier to sharing and effectively reusing biomedical data is a lack of widely adopted standards for organizing, describing, and annotating the data. Using the Brain Imaging Data Structure (http://bids.neuroimaging.io) as a use case, Dr. Gorgolewski will describe the technical and societal challenges in designing a new standard and present the new applications enabled by having a common language to describe data.

About the Speaker
Chris Gorgolewski, Ph.D., Co-director of the Stanford Center for Reproducible Neuroscience obtained his Ph.D. degree from University of Edinburgh, 2013. After postdoctoral training at Max Planck Institute for Cognitive and Brain Sciences and Stanford University, he joined Prof. Russell Poldrack in running the Stanford Center for Reproducible Neuroscience. In his research, Dr. Gorgolewski builds tools that enable researchers to efficiently share their data, run reproducible analyses and link the results with previously reported findings. He has been promoting data sharing through initiatives such as data papers and NeuroVault. He has also been a core developer of neuroimaging data processing framework Nipype, fMRI preprocessing tool FMRIPREP, quality control tool MRIQC, as well as the coordinator of the Brain Imaging Data Structure (BIDS) standard.

View slides from this lecture:
https://drive.google.com/open?id=0B4IAKVDZz_JUVnJUaWZ1d253cHc

Visit our webpage to view archived videos covering various topics in data science: https://bigdatau.ini.usc.edu/data-science-seminars

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