NIH and Biomedical 'Big Data'
Dr. Belinda Seto, Ph.D, Deputy Director, National Institute of Biomedical Imaging and Bioengineering; Office Of The Director
The slides are available Here
Big Data for Big Data: Metadata to Manage Access and Analy
sis of Large Biomedical Datasets
Dr. Mark A. Musen, MD, PhD Professor of Medicine (Biomedical Informatics), Stanford Center for Biomedical Informatics Research Stanford University
Abstract:The excitement about Big Data has focused attention on new storage architectures and analytic methods. Although these are obviously important areas of research, it is crucial to be able to locate appropriate datasets in the first place and to use domain knowledge to integrate disparate datasets. These challenges require ontologies and metadata standards. In this talk, I will review current work on semantic technology for the management of biomedical datasets. I will discuss the activities of the National Center for Biomedical Ontology to assist in the analysis of Big Data. I also will show how ontologies themselves constitute "big data," and why they are important for biomedical research.
Bias and Confounding in Big Data for Healthcare
Dr. Ida Sim, MD, PhD, FACMI; Co-Director, Biomedical Informatics, UCSF Clinical and Translational Sciences Institute; Professor of Medicine, UCSF; Co-Founder, OpenmHealth.org
Abstract: Big data holds promise for advancing health care knowledge and practice, but fundamental concerns about bias and confounding must still be addressed. Health care data - including electronic health record data, clinical research data, public health data, and personal digital data - are subject to particular types of biases and confounding arising from the conduct of health care and research. In this talk, Dr. Ida Sim will discuss these issues and their implications for big data for healthcare.
Speaker's Short Bio: Ida Sim, MD, PhD is Professor of Medicine, Co-Director of Biomedical Informatics at UCSF's Clinical and Translational Sciences Institute and Co-Founder of Open mHealth, a non-profit organization that is breaking down barriers to mobile health app and data integration through an open software architecture. Dr. Sim received her MD and her PhD in Medical Informatics from Stanford University, and is an international leader in informatics for health care and clinical research. Her research work is focused on knowledge-based technologies for evidence-based practice, especially in the ontological representation of clinical trials. In policy work, Dr. Sim was the founding Project Coordinator of the World Health Organization's International Clinical Trials Registry Platform, which sets global standards on clinical trial registration and reporting. She is a recipient of United States Presidential Early Career Award for Scientists and Engineers (PECASE), a Fellow of the American College of Medical Informatics, and a member of the American Society for Clinical Investigation. She is also a practicing primary care physician.