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Ensuring data privacy is part of the larger topic of data governance. Data governance requires organizations to know what data they have, where it's stored, how it flows through their IT systems, and how it's used. Data governance best practices allow organizations to maintain data integrity and trust in their data.
Some sample frameworks GDPR, HIPAA, CPRA, and the Australian Privacy Act are just a few you may use as frameworks for your program, particularly if you fall under that law's jurisdiction. Finally, you can also find frameworks from technology vendors such as OneTrust and TrustArc.
Privacy Governance: Have a privacy framework containing policies and procedures relating to privacy of personal information address data classification, record management, retention, and destruction. 3. A Privacy Risk Management Framework should be developed to identify, analyze & evaluate, and treat privacy risks.
The activities and outcomes are grouped into five functions: Identify-P, Govern-P, Control-P, Communicate- P, and Protect-P. (The "P" in each function name is used to distinguish the Privacy Framework's functions from similar Cybersecurity Framework functions.)
GoodCorporation's Data Protection Framework can be used to help organisations ensure that all the personal data they collect in the course of their operations is properly protected and used responsibly.
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Privacy Governance: Have a privacy framework containing policies and procedures relating to privacy of personal information address data classification, record management, retention, and destruction. 3. A Privacy Risk Management Framework should be developed to identify, analyze & evaluate, and treat privacy risks.
Data governance is a data management concept. It is a measure of the control an organization has over its data. This control can be achieved through high-quality data, visibility on data pipelines, actionable rights management, and clear accountability.
The TrustArc-Nymity integrated Privacy and Data Governance Accountability Frameworks combine and align privacy and data governance controls with privacy management activities across the privacy program lifecycle to help organizations effectively achieve these goals and continuously improve upon them over time.
Common examples of projects that will require particular attention to the privacy and protection of data include: Building/choosing a new IT system that has access to any personal data (i.e. CRM, marketing automation etc.) Migration of any personal data to a different system.
Managers are responsible for considering privacy issues, implementing privacy policies and procedures and managing the handling of personal information across their business unit activities (projects, programs and service delivery). Front line staff comply with the policies and procedures set out by their agency.

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