- Aug 2020
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www.newyorker.com www.newyorker.com
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Romeo, N. (n.d.). What Can America Learn from Europe About Regulating Big Tech? The New Yorker. Retrieved August 19, 2020, from https://www.newyorker.com/tech/annals-of-technology/what-can-america-learn-from-europe-about-regulating-big-tech
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- Jul 2020
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edpb.europa.eu edpb.europa.eu
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As mentioned earlier in these guidelines, it is very important that controllers assess the purposes forwhich data is actually processed and the lawful grounds on which it is based prior to collecting thedata. Often companies need personal data for several purposes, and the processing is based on morethan one lawful basis, e.g. customer data may be based on contract and consent. Hence, a withdrawalof consent does not mean a controller must erase data that are processed for a purpose that is basedon the performance of the contract with the data subject. Controllers should therefore be clear fromthe outset about which purpose applies to each element of data and which lawful basis is being reliedupon.
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- May 2020
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www.termsfeed.com www.termsfeed.com
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One of the GDPR's principles of data processing is storage limitation. You must not store personal data for longer than you need it in connection with a specified purpose.
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- Apr 2020
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www.csoonline.com www.csoonline.com
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Download the billions of breached passwords and blacklist them all. Attackers have a copy; so should you.
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- Mar 2020
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matomo.org matomo.org
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the privacy of your users is respected
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The relationship is between the website owner (you) and the visitor, with no external sources looking in
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matomo.org matomo.org
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With Matomo, the philosophy around data ownership is simple, you own your data, no one else.
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- Sep 2016
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www.sr.ithaka.org www.sr.ithaka.org
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Responsible Use
Again, this is probably a more felicitous wording than “privacy protection”. Sure, it takes as a given that some use of data is desirable. And the preceding section makes it sound like Learning Analytics advocates mostly need ammun… arguments to push their agenda. Still, the notion that we want to advocate for responsible use is more likely to find common ground than this notion that there’s a “data faucet” that should be switched on or off depending on certain stakeholders’ needs. After all, there exists a set of data use practices which are either uncontroversial or, at least, accepted as “par for the course” (no pun intended). For instance, we probably all assume that a registrar should receive the grade data needed to grant degrees and we understand that such data would come from other sources (say, a learning management system or a student information system).
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