gdpr-principles
gdpr-principles

What are the Core Principles of GDPR?

The General Data Protection Regulation (GDPR) is a set of privacy laws that protects personal data in the European Union (EU). It started in May 2018 and has become an important standard for data protection around the world. 

The GDPR has seven key principles that outline how organizations should collect, handle, and store personal information. These principles help give people more control over their own data. For businesses and legal professionals, understanding these principles is essential. If they don’t follow the GDPR, they could face hefty fines and damage to their reputation. In short, complying with GDPR is crucial for any organization that deals with personal data in the EU.

The Legal School in collaboration with Indus Law has launched the Advanced Certification Program in Data Protection & Privacy Laws designed for legal and compliance professionals seeking in-depth knowledge of GDPR, DPDP Act, cybersecurity, and cross-border data transfers. Gain expertise in data governance, risk management and regulatory frameworks, with a focus on BFSI, healthcare, e-commerce, and tech industries.

The 7 Core Principles of GDPR

The GDPR establishes its framework through seven core principles detailed in Article 5 of the regulation. The principles create a systematic framework for data processing that maintains transparency while ensuring fairness and accountability.

1. Lawfulness, Fairness, and Transparency

This principle means that organizations must handle personal data in a way that follows the law and is ethical. It ensures that they are clear and open with individuals about how their data is used. This principle also protects people by stopping organizations from using their data in secret or without permission.

Lawfulness

Organizations must have a valid legal basis for processing personal data. GDPR provides six lawful bases for data processing under Article 6, including:

  • Consent: The data subject has given explicit and informed consent for processing.

  • Contractual Necessity: Processing is required to fulfil a contract, such as processing customer payment details for online purchases.

  • Legal Obligation: The organization must process data, such as tax records or employee payroll information.

  • Vital Interests: Data processing is necessary to protect someone's life, such as in medical emergencies.

  • Public Task: Processing is needed for public interest, such as census data collection.

  • Legitimate Interests: The organization has a genuine reason to process data that does not override the individual's rights, such as fraud prevention.

Fairness

Data processing should operate transparently and avoid causing damage. Organizations must operate in ways that prevent the exploitation and deception of data subjects. It's inappropriate to gather user information for account creation but then employ this data for targeted advertising without obtaining user consent.

Transparency

Organizations must communicate how personal data is collected, used, and stored, which is possible by:

  • Privacy policies that detail the purposes of data collection.

  • Consent mechanisms that allow users to make informed choices.

  • Access to information so users can request details about their data processing.

For example, an e-commerce website must provide a privacy notice explaining how customer data is used for order fulfilment, shipping, and marketing. If marketing emails are sent, customers must have the option to opt out.

Learn the Key Differences between Data Minimization vs Purpose Limitation

2. Purpose Limitation

Data must be collected for specific, explicit, and legitimate purposes. Organizations cannot use the data for other activities without additional legal grounds.

For example, if an airline collects passenger details for ticket bookings, it cannot later use the same information for promotional emails unless it has received explicit consent.

To comply with this principle, organizations must:

  • Define the purpose of data collection before obtaining it.

  • Inform individuals about how their data will be used.

  • Avoid using collected data for unrelated activities without further consent.

Organizations must also conduct Data Protection Impact Assessments (DPIAs) when handling large-scale or sensitive data to ensure compliance with purpose limitations.

Also, Find out What are the Personal Data Privacy Laws?

3. Data Minimization

Data collection must remain limited to information that serves a specific purpose. Excessive data collection leads to more significant security risks while breaking GDPR.

For example, the job application form must limit its questions to essential information, including qualifications, work experience, and references. Requesting information such as marital status or social media passwords alongside political views goes beyond permissible.

Best Practices for Data Minimization:

  • Assess what data is needed before collection.

  • Avoid excessive or optional data fields in forms.

  • Use anonymization or pseudonymization where possible to reduce personal data exposure.

Learn the Key Differences between Data Anonymization vs Pseudonymisation

4. Accuracy

Organizations need to maintain accurate and current personal data records. Significant errors can result from incorrect data, including wrongful loan application rejections and misdirected medical reports.

For example, a bank that processes an incorrect customer address may send sensitive financial statements to the wrong person, violating GDPR.

Compliance Measures for Accuracy:

  • Allow individuals to update their information (e.g., self-service portals).

  • Conduct regular data audits to identify and correct errors.

  • Implement data validation processes to verify new entries.

5. Storage Limitation

An organization must limit personal data retention to the duration required to achieve its initial collection purpose. Retaining data over an unlimited period causes a higher chance of security breaches and legal violations.

For example, an online retailer must remove customer payment information after completing a transaction, except when the law demands that they keep it for reviewing financial audits.

Key Actions for Storage Limitation:

  • Establish data retention policies that define how long data will be kept.

  • Regularly review and delete outdated or unnecessary data.

  • Data anonymization should be used if data needs to be retained for analysis.

Under Article 17 (Right to Erasure), individuals can also request the deletion of their data if it is no longer needed.

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6. Integrity and Confidentiality (Security)

Data must be protected against unauthorized access, leaks, and cyber threats. Organizations must implement technical and organizational measures to prevent breaches.

For example, hospitals that store patient records must protect data with secure servers and encryption alongside role-based access controls to allow only authorized personnel to access this information.

Security Measures Required by GDPR:

  • Encryption: Protecting data from unauthorized access.

  • Access Controls: Restricting access based on user roles.

  • Regular Security Audits: Identifying vulnerabilities in data storage and processing.

  • Incident Response Plans: Having procedures to handle data breaches.

Also, Get to Know How does Article 32 of GDPR ensures Data Security?

7. Accountability

To prove GDPR compliance, organizations must establish appropriate policies and documentation and maintain proper oversight. Through this principle, businesses are required to take active responsibility for safeguarding data. For example, financial institutions that process customer banking information must ensure data protection and provide staff training while performing audits to maintain compliance.

Compliance Requirements:

  • Appointing a Data Protection Officer (DPO) (mandatory for large-scale processing).

  • Maintaining Records of Processing Activities (ROPA) to track data usage.

  • Conducting Data Protection Impact Assessments (DPIAs) for high-risk processing.

  • Training Employees on GDPR compliance and best practices.

Summary

The GDPR, or General Data Protection Regulation, has seven key principles that guide how personal data should be protected. These rules ensure that people's personal information is handled legally and safely. To follow the GDPR and keep user privacy secure, businesses need to apply these principles in their everyday practices. If companies don't comply, they could face hefty fines of up to €20 million or 4% of their global revenue, whichever amount is higher. By following good data management practices, organizations can build trust with their customers and lower their legal risks.

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GDPR Principles: FAQs

Q1. What happens if an organization violates GDPR principles?

Non-compliance can result in fines of up to €20 million or 4% of the company's global annual turnover, reputational damage, and legal action.

Q2. Is GDPR applicable outside the EU?

Yes. Any organization, regardless of location, must comply with GDPR if it processes the personal data of EU citizens.

Q3. Can individuals request data deletion under GDPR?

Yes, individuals can request the deletion of their data under the Right to Be Forgotten (Article 17) if it is no longer necessary or was unlawfully processed.

Q4. What is the role of a Data Protection Officer (DPO)?

A DPO ensures GDPR compliance by monitoring data protection policies, conducting audits, and maintaining compliance.

Q5. How does GDPR impact businesses collecting customer data?

Businesses must obtain explicit consent, use data only for specified purposes, ensure security, and delete data when it is no longer needed to comply with GDPR.

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support@thelegalschool.in

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© The Legal School

Contact

support@thelegalschool.in

+91 6306521711 | +91 9302549193

Address

5th Floor, D-7, Sector 3, Noida - Uttar Pradesh

Social

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© The Legal School