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Integrating Approaches to Privacy across the Research Lifecycle: Long-term Longitudinal Studies

“The Berkman Center for Internet & Society at Harvard University is pleased to announce a new publication from its Privacy Tools for Sharing Research Data project team, titled Integrating Approaches to Privacy across the Research Lifecycle: Long-term Longitudinal Studies [available for download at SSRN] This paper explores interdisciplinary approaches to privacy in long-term longitudinal studies of human subjects. Long-term longitudinal studies collect, at multiple points over a long period of time, highly-specific and often sensitive data describing the health, socioeconomic, or behavioral characteristics of human subjects. The value of such studies lies in part in their ability to link a set of behaviors and changes to each individual, but these factors tend to make the combination of observable characteristics associated with each subject unique and potentially identifiable. Using the research information lifecycle as a framework, the paper discusses the defining features of long-term longitudinal studies and the associated challenges for researchers tasked with collecting and analyzing such data while protecting the privacy of human subjects. It also describes the disclosure risks and common legal and technical approaches currently used to manage confidentiality in longitudinal data. Finally, it identifies urgent problems and areas for future research to advance the integration of various methods for preserving confidentiality in research data. The paper is the first in a series of reports based on the Integrating Approaches to Privacy across the Research Lifecycle workshop, held by the Privacy Tools for Sharing Research Data project at Harvard University on September 24-25, 2013. The workshop convened over forty leading experts in computer science, statistics, law, policy, and social science research to discuss the state of the art in data privacy research. The resulting conversations centered on the emerging tools and approaches from the participants’ various disciplines and how they should be integrated in the context of real-world use cases that involve the management of confidential research data. Additional reports are forthcoming in 2014.”

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