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Privacy Issues and Data Protection in Big Data: A Case Study Analysis under GDPR Nils Gruschka , Vasileios Mavroeidis , Kamer Vishi , Meiko Jensen ResearcharXiv:1811.08531v1 [cs.CR] 20 Nov 2018Group
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01
Identify the types of big data you are handling.
02
Determine the privacy regulations relevant to your data, such as GDPR or CCPA.
03
Conduct a data inventory to understand what personal data you have.
04
Assess the data processing activities and ensure they align with the identified regulations.
05
Implement data minimization principles by only collecting necessary information.
06
Use encryption and anonymization techniques to protect sensitive data.
07
Create a privacy policy that clearly outlines your data handling practices.
08
Establish procedures for data subject rights, including access, rectification, and deletion requests.
09
Regularly review and update your data privacy practices and policies.

Who needs big data privacy and?

01
Businesses that collect personal data from customers.
02
Organizations handling employee data for HR purposes.
03
Government agencies that process citizen information.
04
Healthcare providers managing patient records.
05
Educational institutions dealing with student information.
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Any entity that uses big data analytics for decision-making involving personal data.
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Big data privacy refers to the protective measures and regulations that govern the collection, storage, and usage of large sets of personal and sensitive data to ensure the confidentiality and security of individuals' information.
Organizations that collect, store, or process large amounts of personal data are typically required to file big data privacy reports, including businesses in sectors such as healthcare, finance, and technology.
To fill out big data privacy filings, organizations must gather data related to their data handling practices, including data types collected, purposes of collection, consent mechanisms, and security measures, and then complete the required forms as specified by relevant regulations.
The purpose of big data privacy regulations is to protect individuals' personal information, ensure transparency in data practices, and hold organizations accountable for their data management and privacy policies.
Organizations must report information such as the types of personal data collected, how it is used, the data retention period, security measures in place, and details on data sharing with third parties.
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