Failures of confidentiality threaten research integrity, reputation, legality, and funding. Every researcher in the social, behavioral and health sciences must understand how to manage confidential information in research. Successful management of confidential information is particularly challenging because it requires satisfying a combination of complex legal, statistical and technological constants. And the management of this information has grown increasingly challenging because of recent changes in the law, new forms of data collection, and advances in statistical methods for linking data.
This tutorial provides a framework for identifying and managing confidential information in research. It is most appropriate for mid-late career graduate students, faculty, and professional research staff who actively engage in the design/planning of research. The course will provide an overview of the major legal requirements governing confidential research data; and the core technological measures used to safeguard data. And it will provide an introduction to the statistical methods and software tools used to analyze and limit disclosure risks.
This series will be taught by Micah Altman, Ph.D., Senior Research Scientist, Institute for Quantitative Social Science
Archival Director, Henry A. Murray Research Archive
Contact info: http://maltman.hmdc.harvard.edu/
For more information, please go to Events.