Hide Data in the Governance Agreement

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Aug 6th, 2022
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How to Hide Data in the Governance Agreement

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hello and welcome my name is Shannon Kemp and Im the chief digital officer at data Varsity wed like to thank you for joining the State University webinar data governance takes a village so why is everyone hiding sponsored today by Elation just a couple of points to get us started due to the large number of people that attend these sessions you will be muted during the webinar for questions well be collecting them by the Q a in the bottom in the bottom of your screen and if youd like to tweet we encourage you to share highlights or questions via Twitter using dataversity and if youd like to chat with us or with each other we certainly encourage you to do so and just to note the zoom chat defaults to send to just the panelists but you may absolutely change that to network with everyone to access and open the Q a or the chat panel you will find those icons in the bottom of your screen for those features and as always we will send a follow-up email within two business days containing

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How should I redact information before sending out a subject access request? You should redact or remove any information which doesnt relate to the person making the subject access request. This is important because most of the time you should avoid disclosing information about other people.
The GDPR does not apply to anonymised information. Anonymisation is the process of removing personal identifiers, both direct and indirect, that may lead to an individual being identified.
Ultimately, it ensures the responsible use of customers personal information and avoids the penalties that come along with failing to do so. As a result, neglecting data governance can have serious financial consequences. The fines can be heavy the most expensive handed out to date totalled almost 630 million.
Data protection law does not prescribe any particular technique for anonymisation, so it is up to individual data controllers to ensure that whatever anonymisation process they choose is sufficiently robust.
Data anonymization is done by creating a mirror image of a database and implementing alteration strategies, such as character shuffling, encryption, term, or character substitution. For example, a value character may be replaced by a symbol such as * or x. It makes identification or reverse engineering difficult.
What Are the Most Common Data Anonymization Techniques? Data Masking. Data masking is perhaps the most well-known method of data anonymization. Data Pseudonymization. Data Generalization. Data Perturbation. Data Swapping. Synthetic Data.
If you do not have the third partys consent and you are not satisfied that it is reasonable to disclose the third-party information, then you should withhold it. However, you are still obliged to communicate as much of the requested information as you can, without disclosing the third-partys identity.
For example, you can run Personally Identifiable Information (PII) such as names, social security numbers, and addresses through a data anonymization process that retains the data but keeps the source anonymous.

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