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Modern information systems, storage devices and recording formats have led to unprecedented growths in scientific and social data. These advancements have resulted in the Big Data (BD) paradigm – enormous data collection for processing and analyses that can provide new information not otherwise gleaned from smaller disparate data collections. This presentation will discuss the Open Archival Information System (OAIS) reference model, to address challenges posed by BD. Examples from Earth Observing Systems and Biomedical research systems will be shown to elucidate the OAIS. An integrated reference architecture for BD life cycle management will be presented. Intelligent biomedical archives (IBA) concept and characteristics that differentiate IBA from traditional archives will be highlighted. A functional view of the IBA will be presented for increasing transformation of data to knowledge. Scenario-based examples from biomedical research will be provided to stimulate discussion on approaches to operationalize IBA. A vision for developing true knowledge building systems for biomedical research will be shared. |
BIO:
Since 2016, Dr. Navale is on detail to the Office of Associate Director for Data Science at NIH. His current activities include development of information technology strategies and initiatives for biomedical research. In 2014, he joined NIH, and led the Center for Information Technology Hosting and Storage Service Operations.
From 2000-2014, he served as the Chief of the US U.S National Archives and Records Administration (NARA) Digital Preservation and Access program, and was instrumental in modernizing NARA’s Electronic Records Archives Systems. He received the US National Archives Archivist Award for outstanding team contributions made towards agency goals.
He He also served as the Department of Commerce, Science and Technology Fellow, and led National Institute of Standards and Technology and Information Storage Industry consortium Metrology working group.
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Topic: Intelligent Biomedical Archives –A Conceptual Architecture for Big Data Science.
Speaker: Vivek Navale, Ph.D.
Date: Wednesday, June 7, 2017
Time: 11 AM – 12 PM ET
WebEx:
Event Number:
Event Password:
Room: 3W032-034
You are invited to listen to Dr. Navale's presentation in the NCI Shady Grove Building on Medical Center Drive or via WebEx.
Presentation: A screen cast of the presentation will be available for viewing after the event on the NCI CBIIT Speaker Series YouTube Playlist 
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About the NCI CBIIT Speaker Series:
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