Date:February 8th 2011 from 12pm to 1pm EST
Abstract:In this webinar we will describe the new publicly available REB Wizard tool for managing re-identification risk. There are many situations that require an analyst to perform a re-identification risk assessment without having access to the actual data. Classic examples include: (a) a research ethics board examines a protocol and needs to decide if the data to be collected or that will be shared after collection has a low risk of re-identification, and (b) a lawyer negotiating a contract where de-identified data will be shared but the data has not been collected yet. The REB Wizard tool will allow users to do a quick re-identification risk assessment based only on a specification of the data that will be collected (ie, no data is available). The underlying models of this tool are based on an analysis of census data. This presentation will describe how the REB Wizard tool works and walk through a few case studies where it has been used. If you need to do a re-identification risk assessment for Canadian data, then this webinar will show you how to get started.
Speaker: Khaled El Emam, CHEO Research Institute
Biography: Khaled is an Associate Professor at the University of Ottawa, Faculty of Medicine and the School of Information Technology and Engineering, a senior investigator at the Children’s Hospital of Eastern Ontario Research Institute, and a Canada Research Chair in Electronic Health Information at the University of Ottawa. His main area of research is developing techniques for health data anonymization. Previously Khaled was a Senior Research Officer at the National Research Council of Canada, and prior to that he was head of the Quantitative Methods Group at the Fraunhofer Institute in Kaiserslautern, Germany. He has (co)-founded two companies to commercialize the results of his research work. In 2003 and 2004, he was ranked as the top systems and software engineering scholar worldwide by the Journal of Systems and Software based on his research on measurement and quality evaluation and improvement, and ranked second in 2002 and 2005. He holds a Ph.D. from the Department of Electrical and Electronics, King’s College, at the University of London (UK).