HKS Authors

See citation below for complete author information.

Daniel Paul Professor of the Practice of Government and Technology, HKS and FAS

Abstract

Society generates data on a scale previously unimagined. Wide sharing of these data promises to improve personal health, lower healthcare costs, and provide a better quality of life. There is a tendency to want to share data freely. However, these same data often include sensitive information about people that could cause serious harms if shared widely. A multitude of regulations, laws and best practices protect data that contain sensitive personal information. Government agencies, research labs, and corporations that share data, as well as review boards and privacy officers making data sharing decisions, are vigilant but uncertain. This uncertainty creates a tendency not to share data at all. Some data are more harmful than other data; sharing should not be an all-or-nothing choice. How do we share data in ways that ensure access is commensurate with risks of harm?

Citation

Sweeney, Latanya, Mercè Crosas, and Michael Bar-Sinai. "Sharing Sensitive Data with Confidence: The Datatags System." Technology Science (October 2015).