March Data Sharing and Reuse Seminar

Dr. Kilian Pohl will present, "Accelerating Neuroscience Discovery Using Shared Software and Data" on March 8, 2024, at 12 p.m.

About the Seminar

Sharing software and data has led to new discoveries in neuroscience and lowered the barriers for replication. Adequate power to promote discovery results from aggregating and repurposing well-curated data acquired by multiple sites. Studies based on NIAAA-funded NCANDA-A are exemplary of this sharing process. Since 2013, NCANDA-A has been collecting multimodal neuroscience data annually on 831 individuals (baseline age: 12–21 years). The data are uploaded and curated through a data management system called Scalable Informatics for Biomedical Imaging Studies (SIBIS) (https://github.com/sibis-platform). SIBIS relies principally on publicly available software to span the entire life cycle of electronic data (i.e., capture, harmonize, quality control, share, and analyze). This talk will review the design of SIBIS, identify the challenges in analyzing public multimodal data via machine-learning technology, and highlight research findings that resulted from overcoming those challenges. 

About the Speaker

In 2002, Kilian M. Pohl started sharing machine-learning software for the analysis of neuroscience data as part of his graduate research at the Massachusetts Institute of Technology and Harvard Medical School. Kilian is now a Professor in Psychiatry and Behavioral Sciences and, by courtesy, Electrical Engineering at Stanford University. He is the contact Principal Investigator of the Data Analysis Resource of the National Consortium on Alcohol and Neurodevelopment in Adolescence - Adulthood (NCANDA-A) and of the Computational Neuroscience Laboratory (CNS^LAB). For neuroscience studies such as those conducted by NCANDA-A, the CNSLAB manages the data and creates machine-learning models to identify phenotypes that improve the mechanistic understanding, treatment, and prevention of neuropsychiatric disorders.

About the Seminar Series

The seminar is open to the public and registration is required each month. Individuals who need interpreting services and/or other reasonable accommodations to participate in this event should contact Janiya Peters at 301-670-4990. Requests should be made at least five days in advance of the event.

The National Institutes of Health (NIH) Office of Data Science Strategy hosts this seminar series to highlight exemplars of data sharing and reuse on the second Friday of each month at noon ET. The monthly series highlights researchers who have taken existing data and found clever ways to reuse the data or generate new findings. A different NIH institute or center will also share its data science activities each month.