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[…] that do not directly identify a person, but that in combination can single out an individual. This coul d include information such as birth date s, ZIP codes, gender, race, or ethnicity. (See , e.g., municipal guidance like Seattle’s PII/Privacy in the Open Dataset Inventory ). In general, to preserve privacy, experts recommend including […]

[…] achieving racial equality in Seattle. 38 The Open Data P rogram has also committed to supporting the RSJI in 2017 by “releasing open datasets that help with promoting positiv e RSH= outcomes.” 39 The City of Seattle Privacy Statement makes clear that some data collected by the city may be made public through public […]

[…] of caution when releasing data to the public. ● The draf t report recommends that cities address harms related to fairness and observes that “‘residents of zip codes listed as having high rates of households below the poverty level; property owners in neighborhoods where crime rates are higher than average; students at schools that […]

[…] use our requirements for minimum population sizes for geographic reporting. That’s HIPPA safe harbor did. I t implemented that y ou could only report 3 -digit zip codes that contained populations with more than 20 ,000 individuals. However , it also requires, if you’re trying this very small risk approach under the expert determination, […]

[…] when the multiple overlapping geographies are used to reveal smaller areas for re -identification searches . 62 Example: OHIO Core – based Statistical Areas Indiana Kentucky West Virginia Pennsylvannia Columbus, OH Toledo, OH Dayton, OH Akron, OH Cincinnati – Middletown, OH -KY -IN Cleveland – Elyria – Mentor, OH Huntington – Ashland, WV -KY […]

[…] profiles from a variety of “offline” sources — such as loyalty programs and offline shopping habits — in ways that fall outside of the strictures of self-regulatory codes, but nonetheless may be unexpected or surprising to many consumers. For these reasons, consumer education is more important than ever, and self-regulatory mechanisms such as the […]

[…] data ” about citizens and their activities, the risk of re -identification rises even further . Databases of calls to emergency services, civil compl aints about building codes and restaurants, a nd even civil rights violations will potentially become available for anyone in the world to explore. The ease at which adversaries (including professional […]

[…] technologies come to market. We help ensure responsible practices are in place so that the benefits of technologies will be well-received by consumers. FPF’s goal is to promote leading privacy practices and industry solutions for these emerging technologies. Cars Our Connected Car Project working group is an ongoing collaborative effort to pursue best practices […]

[…] technologies come to market. We help ensure responsible practices are in place so that the benefits of technologies will be well-received by consumers. FPF’s goal is to promote leading privacy practices and industry solutions for these emerging technologies. Cars Highlights of our work in 2016 Our Connected Car Project working group is an ongoing […]

[…] to guide how cities and local communities collect, manage, and use personal data to improve services for citizens. FPF and its Smart Cities Working Group seek to promote fair and transparent data uses, provide practical guidance to help local governments navigate complicated privacy-related issues, and help individuals better understand and engage with data-driven programs […]