Data Privacy and Data Security: Concept of data and data privacy; Data protection, Data privacy and data security

 

Data Privacy and Data Security: Concept of data and data privacy; Data protection, Data privacy and data security

Concept of Data

Data refers to raw facts, statistics, or information collected from various sources.

Types:

Structured:  like databases

 Unstructured: like emails, multimedia, etc

Personal data : It refers to information that identifies an individual e.g., name, address, date of birth, or biometric data etc.

Non-personal data: Any set of data which does not contain personally identifiable information. This means that no individual or living person can be identified by looking at such data.

 • For example, order details collected by a food delivery service will have the name, age, gender, and other contact information of an individual, it will become non-personal data if the identifiers such as name and contact information are taken out.

Data privacy: It enables individuals to decide and limit access to the use and sharing of their personal data.

It is also known as information privacy, is the practice of handling sensitive or personal data responsibly to ensure it is not shared, accessed, or used without the individual’s consent.

Key Elements of Data Privacy:

• Consent: Individuals must grant permission for data collection and use.
• Purpose Limitation: Data should only be used for specific, stated purposes.
• Transparency: Organizations must inform users about how their data will be handled.
• Data Minimization: Only essential data should be collected.
• Right to Access and Erasure: Individuals have the right to view, modify, or delete their data.

Best Practices to Data privacy

• Understand how your relevant regulations define personal information.

• Utilize proper consent management when collecting data.

• Store only essential information.

• Don’t store data longer than necessary.

• Understand individuals’ rights over their data under applicable laws and regulations.

 

Data Protection

It refers to the measures and policies put in place to secure data from unauthorized access, loss, or corruption. It focuses on the integrity and availability of data, ensuring data stays safe throughout its lifecycle.

Best Practices to Data protection

• Encryption: Data is encoded so only authorized individuals can read it.
• Backup Solutions: Data copies are stored to prevent loss.
• Access Controls: Permissions ensure only the right people access data.
• Compliance: Organizations follow regulations like GDPR (General Data Protection Regulation)

 

 Data security: concept of protecting digital data from theft, corruption, or unauthorized access throughout its entire lifecycle of Creation, Storage, Use, Sharing, Archiving, Destruction

Best Practices to Data Security

 • Limit internal access to data.

• Encrypt your data.

• Don’t use public Wi-Fi connections on your business devices.

 • Take extra precautions to guard against human error.

 Data Security Affects Data Privacy: Most online businesses and websites collect personal data, from email addresses to phone numbers, credit cards, and log-in details. Ideally, these entities should not keep more information than is necessary, nor should they keep it longer than necessary. Cannot operationalize data privacy without ensuring the security of data. Data security is a prerequisite to data privacy.

Relationship between Data Protection, Privacy, and Security

• Data Privacy ensures personal data is collected and used responsibly.
• Data Protection provides policies and tools to handle data safely.
• Data Security focuses on the technical measures to prevent breaches and attacks.