Privacy and Confidentiality Framework Julia Lane Coleridge Initiative
- Slides: 13
Privacy and Confidentiality: Framework Julia Lane, Coleridge Initiative
Why confidentiality is important • Promise to respondents • Ethical requirement • Legal requirement • Practical implications Understanding the tradeoff Framework in big data world
Why access important • Data are dirty • Datasets not well-defined entities • Linkages can be wrong • Outliers are where the action is • It takes a village. . Understanding the tradeoff Framework in big data world
Why access matters “As part of Child Fatality Review, department heads in Baltimore City government get together once a month. We review every child death that happened in the city since the previous meeting. We ask what more we might have done to prevent that tragedy. In many cases, each of us has a file on the child or the family at least an inch thick. It’s tragic to compare notes after the child has died—what more could we have done when the child was alive? . ” DR. LEANA WEN, COMMISSIONER OF HEALTH, CITY OF BALTIMORE Understanding the tradeoff Framework in big data 4 world
How data can make a difference Understanding the tradeoff Framework in big data 5 world
Chapter 12 Privacy and Confidentiality, Stefan Bender, Ron Jarmin, Frauke Kreuter, and Julia Lane (2020) BD and Social Science Understanding the tradeoff Framework in big data world
Motivation Understanding the tradeoff Framework in big data world
Additional Problems • What is the legal framework when the ownership of data is unclear? • Collection and analysis often no longer within same entity. Ownership of data less clear. • Who has the legal authority to make decisions about permission, access and dissemination and under what circumstances? • The challenge in the case of big data is that data sources are often combined, collected for one purpose and used for another and users often have no good understanding of it or how their data will be used. Understanding the tradeoff Framework in big data world
=> Concepts Out of Date Notification is either comprehensive or comprehensible, but not both. (Nissenbaum 2011) Understanding of the nature of harm has diffused over time. . Consumers value their own privacy in variously flawed ways. (Acquisti 2014) Understanding the tradeoff Framework in big data world
Case Study: Issues with Consent • Opt-in vs. opt-out wording • Gain vs. loss framing • Front vs. back placement Understanding the tradeoff Framework in big data world
Case Studies: Issues with Anonymization • Identity disclosure • linkage with external available data • Attribute disclosure • Inferential disclosure Understanding the tradeoff Framework in big data world
Case Studies: Issues with Anonymization Understanding the tradeoff Framework in big data world
Questions How valuable is your data for public policy purposes? How easily could individual entities be reidentified in your data? How important are outliers for your study?