Alexander Ropelewski will present "The Brain Image Library: A Resource for Sharing Microscopy Data" at the monthly Data Sharing and Reuse Seminar on November 19 at 12 p.m. ET.
About the Seminar
High-resolution, whole-brain microscopy provides unprecedented new insights into the brain’s structural organization, molecular diversity and connectivity. The Brain Image Library (BIL) provides infrastructure that facilitates the sharing of this valuable data, enabling investigators to comply with NIH data sharing requirements. This talk will describe the BIL, the data contributed, the resources provided, and the data sharing challenges faced as the focus towards human brain imaging contemplates the capture of petabyte sized cellular-scale data.
About the Speaker
Mr. Ropelewski cultivated his 30+ year professional career at the Pittsburgh Supercomputing Center where he directs the Biomedical Applications Group, a group focused on enhancing the use of High-Performance Computing (HPC), Networking, and Data Science within the Biomedical Research Community. A computer scientist graduate from the University of Pittsburgh, Mr. Ropelewski’s HPC work includes the creation of parallel codes on a wide-range of computing architectures and major contributions to architectural frameworks for data-intensive projects. Ropelewski is currently PI and Operations Director for the BIL, an NIH funded national public resource enabling researchers to deposit, analyze, mine, share and interact with large brain image datasets. Other data intensive projects Mr. Ropelewski currently contributes to include the AUROA-US Breast Cancer Data Coordinating Center and the Infrastructure and Engagement component of the NIH HuBMAP project. In addition to those data intensive projects, Ropelewski co-directs the training and dissemination components of the National Center for Multiscale Modeling of Biological Systems. In the recent past, he led the PSC’s NIH funded MARC program, a multi-institutional collaborative bioinformatics training effort involving scientists and educators at several Minority Serving Institutions.
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 Rachel Pisarski 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.