A Visual Guide to Practical Data De-Identification
fpf.org/wp-content/uploads/2017/06/FPF_Visual-Guide-to-Practical-Data-DeID.pdf
What do scientists, regulators and lawyers mean when they talk about de-identification? How does anonymous data differ from pseudonymous or de-identified information? Data identifiability is not binary. Data lies on a spectrum with multiple shades of identifiability.
The “Visual Guide to Practical Data De-Identification” (PDF) by the Future of Privacy Forum is doing a really great job in presenting the scale of data categories from fully identifiable to entirely anonymous, with three key dimensions and tangible examples.
