The Canadian Privacy Law Blog: Developments in privacy law and writings of a Canadian privacy lawyer, containing information related to the Personal Information Protection and Electronic Documents Act (aka PIPEDA) and other Canadian and international laws.
The author of this blog, David T.S. Fraser, is a Canadian privacy lawyer who practices with the firm of McInnes Cooper. He is the author of the Physicians' Privacy Manual. He has a national and international practice advising corporations and individuals on matters related to Canadian privacy laws.
For full contact information and a brief bio, please see David's profile.
The views expressed herein are solely the author's and should not be attributed to his employer or clients. Any postings on legal issues are provided as a public service, and do not constitute solicitation or provision of legal advice. The author makes no claims, promises or guarantees about the accuracy, completeness, or adequacy of the information contained herein or linked to. Nothing herein should be used as a substitute for the advice of competent counsel.
This web site is presented for informational purposes only. These materials do not constitute legal advice and do not create a solicitor-client relationship between you and David T.S. Fraser. If you are seeking specific advice related to Canadian privacy law or PIPEDA, contact the author, David T.S. Fraser.
Tuesday, September 18, 2007
Jay Cline has an interesting article in Computerworld about what really is the most forgotten privacy principle.
Data quality -- the forgotten privacy principle
Nearly every major privacy law requires "data quality," but it’s become the most forgotten of all of the internationally recognized privacy principles. Why? Three reasons: The laws provide few details on what "data quality" means; companies violating this principle don’t make the headlines; and it’s not exactly clear what data quality has to do with privacy, anyhow.
Why is this important? Because companies around the globe are spending more time and resources assessing their internal privacy practices, and they need to know what is "good enough" when it comes to data accuracy.....
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