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HL Chronicle of Data Protection Privacy & Information Security News & Trends

Tag Archives: anonymization

Posted in Health Privacy/HIPAA, International/EU Privacy

Mobile Health in the EU (Part 2): Personal Data and Sensitive Information in mHealth Businesses

In our previous post we outlined the key issues regarding mHealth devices and services from a privacy law perspective. Now, we go further into the details and discuss the scope of the personal data involved, especially relating to sensitive health data. We introduce the relevant statutory requirements in the EU and the legal opinions of the Article 29 Working Party and the European Data Protection Supervisor as well as having a look at the upcoming European General Data Protection Regulation. Against this legal background, one core question we will examine is whether information collected and processed by lifestyle apps and devices must be classified as health data and fall under the strict requirements of European data protection laws.

Posted in Consumer Privacy

Presidential Council of Advisors on Science and Technology Stresses “Use” Issues in Report

On May 1, the Presidential Council of Advisors on Science and Technology released Big Data: A Technological Perspective. The report is billed as a technical accompaniment to the 90-day Big Data review performed by Presidential Counselor John Podesta and addresses “the nature of current technologies for managing and analyzing big data and for preserving privacy” and the evolving nature of those technologies. While the PCAST report, released to coincide with Counselor Podesta’s review, has received less media attention than the Podesta report, its findings may influence the Administration’s information-governance expectations of businesses.

Posted in International/EU Privacy

European Regulators Raise the Bar on Anonymization Techniques

The Article 29 Working Party’s new opinion on anonymization techniques provides a useful primer on randomization and generalization (i.e., data aggregation) techniques used to anonymize data sets. The opinion analyzes each technique based on three ways that data can be re-identified: the ability to single out individuals after the anonymization technique has been applied; the linkability of the anonymized data sets to other data sets; and finally the ability of the data sets to resist inference attacks after application of the anonymization technique. Organizations depending on anonymization for compliance with the Data Protection Directive would be well advised to review their anonymization processes to determine if they comport with the standards set out in the opinion.