Deidentifying Data: A Primer on Disclosure Risk


In research data, disclosure occurs when an individual study participant is directly or indirectly identified. Data providers and researchers have the legal and ethical responsibility to protect the identity of their study participants. Legal regulations such as HIPAA, FERPA and CIPSEA govern the restriction of some types of information. Federal agencies, grant funders and universities set data governance compliance standards to minimize disclosure risk. This workshop will explain how to assess and remediate disclosure risk. The workshop will also describe types of private information and how to provide access to data in an appropriate manner.

Date: Wednesday, February 16 at 1:00pm
Speaker: John Marcotte
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About the Speaker

John E Marcotte, PhD is a demographer, statistician and data security expert with more than 25 years of experience performing quantitative analysis, assessing disclosure risk and implementing secure access to research-data. During his career, Marcotte has served as a quantitative researcher, biostatistician, data archivist, data security officer and computing director. He has collaborated with social and natural scientists as well as medical researchers. These experiences enable him to communicate effectively with researchers from different disciplines. Marcotte is both a data-user and a data-provider. This dual role enables him to understand the needs of researchers who collect and analyze primary data as well as researchers who analyze secondary data. He regularly presents at professional conferences and contributes to invited panels on data security and disclosure. In addition to his primary appointment at the Institute for Social Research (ISR), Marcotte is an adjunct faculty member of the University of Michigan School of Nursing, and is affiliated with the Michigan Institute for Data Science the Health Analytics Collaboratory, the Michigan Population Studies Center and the Population, Neurodevelopment and Genetics Program. These appointments demonstrate how he bridges demography, data science, social science, and health science.

Event/Exhibit Information
February 16, 2022 - 1:00pm