Home GDPR 1touch.io – Personal Data De-identification for Data Science: Challenges, Methodologies, and Best Practices
GDPR - December 4, 2019

1touch.io – Personal Data De-identification for Data Science: Challenges, Methodologies, and Best Practices

Terms like ‘sensitive data’ and ‘personal data’ have been floating in the air ever since GDPR, CCPA, and similar privacy acts were introduced to companies across the globe. One challenge they present is that the complexity of the federal laws and complicated terminology used to identify the corresponding subjects make it difficult for those in the technical field to truly grasp.

It becomes harder than ever for the data scientists to figure out the main challenges of processing datasets containing sensitive information and how the data should be anonymized properly.

To read the full whitepaper, fill in the form below.

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window.wpuf_conditional_items = [];
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if ( typeof wpuf_plupload_items === ‘undefined’ ) {
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  • This whitepaper is offered free of charge by Data Protection World Forum Ltd (DPWF) in association with 1touch.io. When subscribing, you are asked to furnish certain limited information for registration and analytics purposes. 1touch.io may contact you in connection with the whitepaper. You are also given the option of consenting to receive marketing communications from DPWF and/or 1touch.io. You have the right at any time to withdraw your consent to the use of your personal data for such purposes and to have your data deleted. DPWF and 1touch.io are joint controllers of your data for the purposes of the Data Protection Act 2018 and we refer you to their respective privacy policies below.

    View GDPR:Report’s Privacy Notice here

    View 1touch.io Privacy Notice <a href=https://1touch.io/privacy-policy/

    here

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The post 1touch.io – Personal Data De-identification for Data Science: Challenges, Methodologies, and Best Practices appeared first on PrivSec Report.


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