Good Governance for Anonymized Data
A lot of focus is given to data governance for personal data, and just as much focus can be given to data governance for anonymized data to manage residual risks. Before anonymization, organizations can establish policies, procedures, and roles for the anonymization process, to communicate effectively with stakeholders, and to know how to identify and manage potential breaches. After anonymization, continuous monitoring and control measures will ensure ongoing safe and responsible use of the data.
This paper provides an overview best practice for a governance process before and after anonymization, so that organizations can maintain the integrity of anonymized data and promote the safe and responsible use for intended purposes. We believe that anonymized data can be a valuable resource for advancing research and achieving socially and organizationally beneficial outcomes. With these best practices in place, organizations can leverage anonymized data to drive innovation and outcomes, while also managing residual risks.
Situation: California’s Consumer Privacy Act inspired Comcast to evolve the way in which they protect the privacy of customers who consent to share personal information with them.
Situation: Integrate.ai’s AI-powered tech helps clients improve their online experience by sharing signals about website visitor intent. They wanted to ensure privacy remained fully protected within the machine learning / AI context that produces these signals.
Situation: Novartis’ digital transformation in drug R&D drives their need to maximize value from vast stores of clinical study data for critical internal research enabled by their data42 platform.
Situation: CancerLinQ™, a subsidiary of American Society of Clinical Oncology, is a rapid learning healthcare system that helps oncologists aggregate and analyze data on cancer patients to improve care. To achieve this goal, they must de-identify patient data provided by subscribing practices across the U.S.
Situation: Needed to ensure the primary market research process was fully compliant with internal policies and regulations such as GDPR.
Situation: Needed to enable AI-driven product innovation with a defensible governance program for the safe and responsible use
of voice-to-text data under Shrems II.
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