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Data privacy in the digital era is crucial for protecting sensitive information. This encompasses data collection, storage, processing, and access control, guided by laws like GDPR. Core principles include Consent, Data Minimization, and the Right to Erasure. The Data Privacy Act and proactive measures like DPIAs are discussed, along with Big Data's impact and international standards.
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Data privacy is a subset of data security that focuses on the appropriate management of sensitive information
General Data Protection Regulation (GDPR)
The GDPR in the European Union aims to safeguard personal information and uphold the rights of individuals
Data Privacy Act
The Data Privacy Act establishes guidelines for data controllers and processors to protect personal privacy
Consent
Consent is a cornerstone of data privacy, requiring individuals to provide informed and explicit permission for their data to be used
Data Minimization
Data minimization ensures that only essential data is collected for a specified purpose
Right to Access and Right to Erasure
The Right to Access allows individuals to see the data held about them, while the Right to Erasure allows them to request the deletion of their data under certain conditions
DPIAs are systematic processes used to evaluate and reduce privacy risks in data processing activities
DPIAs are often required by law for high-risk processing and help organizations comply with privacy regulations
Determining Necessity
The first stage of a DPIA is determining when it is necessary to conduct one
Assessing Risks
The third stage of a DPIA involves assessing the risks associated with data processing
Documenting Outcomes
The final stage of a DPIA is documenting the process and outcomes to ensure privacy risks are effectively managed
Big Data refers to the large volume and nature of data collected, often including sensitive personal details
Big Data analytics can yield significant insights but also introduce privacy concerns
Data Anonymization
Data anonymization is a technique used to balance the benefits of Big Data with the need for privacy protection
Encryption
Encryption is another technique used to protect privacy in Big Data
Differential Privacy
Differential Privacy is a technique that balances the benefits of Big Data with the need for privacy protection by adding noise to data sets
Protecting data privacy is essential for safeguarding personal privacy and upholding the reputation of businesses
Data breaches, opaque practices, inadequate user control, and unauthorized data sales are some of the challenges to data privacy
Privacy by Design
Privacy by Design is an approach that embeds privacy considerations into the development of projects from the beginning
Strong Security Protocols
Enforcing strong security protocols is crucial for protecting data privacy
Regular Audits and Training
Conducting regular audits and providing staff training are important for ensuring data privacy
Transparency and Legal Compliance
Maintaining transparency and complying with legal requirements are essential for protecting data privacy and fostering trust among consumers
00
______, a component of data security, deals with handling sensitive data, including how it's collected, stored, and shared.
Data privacy
01
The ______ mandates that personal data like names and email addresses be managed in a way that protects individual rights within the ______.
General Data Protection Regulation (GDPR)
European Union
02
Meaning of Consent in Data Privacy
Individuals' informed, explicit permission required for data use.
