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How Many Basic Principles Are Based on the GDPR?

Understanding the GDPR’s Structural Framework

Let’s start with what the GDPR actually is. Enforced since May 25, 2018, it replaced the 1995 Data Protection Directive. That was drafted when dial-up was still a thing and Google didn’t exist. The update wasn’t just overdue—it was necessary. The new regulation applies directly in all 27 EU member states, cutting out the need for local legislation to interpret it. That creates consistency, at least in theory. In practice? Well, enforcement varies. Germany fines harder than Greece. Ireland, hosting so many tech giants, moves slower. But the legal baseline is the same.

And that baseline starts with principles, not procedures. Most people skip to the penalties—fines up to €20 million or 4% of global turnover, whichever is higher—and miss the philosophy underneath. These principles are abstract, almost ethical. They’re not about encryption or breach reporting timelines. They shape intent. They force organizations to ask: Why are we collecting this? Who benefits? Can we do it more responsibly? That changes everything.

Where the Principles Fit in the GDPR’s Hierarchy

The principles live in Article 5. That’s not an accident. It’s the second substantive article after definitions. It comes before rights, before obligations, before cross-border data flows. That placement tells you something: compliance isn’t built on consent or the right to be forgotten. It’s built on how you treat data from the first moment you touch it. If you violate a principle, everything downstream is tainted. A perfectly worded privacy notice won’t save you if your processing is unfair. A user might have clicked “accept” on cookies, but if the purpose is vague, you’re already off track.

And here’s the kicker—these principles can’t be waived. Unlike consent, which is one legal basis among others, or data subject rights, which have exceptions, the principles are non-negotiable. You can’t ask someone to sign away fairness or accountability. You can’t say, “By using our service, you agree to unlawful processing.” That’s not how it works. The law assumes a baseline of respect. That’s why regulators don’t need to prove harm to act. A breach of principle is harm enough.

The Seven Principles That Define Data Integrity in the EU

I find this overrated: the obsession with consent. Yes, it’s important. But the real power of the GDPR lies in its principles. They apply regardless of your legal basis. Whether you’re relying on consent, contract, or legitimate interest, you still have to comply. They’re like air—invisible until they’re gone. And when they’re gone, everything suffocates.

Lawfulness, Fairness, and Transparency

This one’s a mouthful, but it’s actually three separate ideas chained together. Lawfulness means you need a valid legal ground under Article 6—consent, contract performance, legal obligation, vital interests, public task, or legitimate interest. Fairness is trickier. It’s about avoiding abuse. For example: you collect email addresses for a newsletter, then sell them to a weight loss company. That’s lawful? Maybe. Fair? Probably not. Transparency demands clarity. No legalese. No buried clauses. You have to tell people what you’re doing, in plain language. That’s why cookie banners exploded after 2018. But even now, most are designed to nudge you toward “accept all.” We're far from it when it comes to real transparency.

And that’s exactly where design meets ethics. If your interface tricks users into agreeing—through dark patterns, forced continuity, or pre-checked boxes—you’re violating fairness. The Belgian DPA fined Clearview AI €20 million not just for scraping biometric data, but for doing it secretly, without warning. That wasn’t transparent. It wasn’t fair. It wasn’t lawful. One act, three violations. That’s how principles compound.

Purpose Limitation and Data Minimization

Purpose limitation means you can’t collect data for one reason and use it for another. Say you run a fitness app. You ask for health data to personalize workouts. That’s fine. But then you start feeding that data into an insurance risk model. Surprise—new purpose, no new legal basis. You’re out of compliance. And it doesn’t matter if the user didn’t object. Their silence isn’t consent. Their data isn’t yours to repurpose.

Data minimization takes it further: collect only what you need. A job application form asking for someone’s marital status? Unnecessary. A delivery app requesting access to your contacts? Excessive. Yet these still show up. In 2022, Norway’s DPA fined a mental health app for collecting detailed psychological profiles when basic mood tracking would’ve sufficed. The fine was “only” 4 million NOK (~€350,000), but the message was clear: scale matters. Don’t hoard.

That said, minimization doesn’t mean zero data. It means proportionality. Hospitals need detailed records. Banks need transaction history. The issue remains: can you justify it? And if you can’t, you shouldn’t have it.

Accuracy and Storage Limitation

Accuracy sounds obvious. But how many CRM systems are full of outdated emails, wrong job titles, dead addresses? It’s rampant. Yet under GDPR, inaccurate data is unlawful data. If you’re sending marketing emails to old domains, you’re violating this principle. And if those emails contain incorrect claims about the recipient (“As a CFO, you’ll love this…” when they were demoted in 2021), it’s worse. The problem is, most companies treat data as static. But lives change. Jobs change. Preferences evolve. Data should too. Which explains why automated data review processes are becoming standard—especially in financial services, where misclassification can lead to credit denials.

Storage limitation is the flip side: don’t keep data forever. Define retention periods. Delete when done. A recruitment platform might keep CVs for six months, then anonymize or purge. But what if the candidate re-applies? Then you need fresh logic. Maybe archive with reduced access. Maybe ask again. The key is intentionality. Indefinite storage? That’s a red flag. In 2023, the French DPA fined a retailer €400,000 for keeping customer purchase histories for 10 years—long after any legitimate use had expired.

Integrity, Confidentiality, and Accountability

These three are lumped together, but they’re distinct. Integrity means data should be protected from corruption—whether by error or attack. Confidentiality covers access control: only the right people should see the data. And accountability is the big one. It’s not a standalone rule. It’s a requirement to prove compliance. You don’t just follow the principles—you show how. Through documentation, audits, records of processing, DPIAs, staff training. The burden of proof is on you.

And that’s where small businesses struggle. A bakery with 10 employees doesn’t have a DPO or legal team. But they still need to document their camera surveillance, handle customer data requests, and protect their Wi-Fi network. Because accountability scales. A €50,000 fine could shut them down. Larger firms? They’ve built compliance into product design. Microsoft, for example, reports spending over $1 billion on GDPR readiness. That’s not just legal cost. It’s engineering, culture, process. But even with that, they’ve faced scrutiny—like when Windows 10 telemetry was accused of excessive data collection. So size doesn’t guarantee compliance. Intent does.

GDPR Principles vs. National Data Laws: How Europe Compares

The UK kept the GDPR after Brexit—now called “UK GDPR.” Same principles. Same structure. But enforcement diverges. The ICO tends to be slower, more collaborative. The French CNIL? Faster, more punitive. In 2021, they fined Google €100 million for cookie consent issues. The Italian Garante hit Facebook with €60 million for improper legal basis. That’s not counting the €1.2 billion penalty to Meta in 2023 for EU-US data transfers. The mechanics are similar, but the tone isn’t.

Compare that to the US. No federal privacy law. Some state-level rules—California’s CCPA, Virginia’s CDPA. But these focus on consumer rights, not principles. The word “fairness” appears, but it’s not central. Accountability? Barely mentioned. The difference is philosophical. Europe sees data protection as a fundamental right. The US sees it as a market issue. One regulates behavior. The other regulates outcomes. Hence the gap in penalties, scope, and public trust.

Frequently Asked Questions

Can a Company Follow the GDPR Principles but Still Violate the Law?

Yes. Following principles doesn’t exempt you from procedural rules. You might process data fairly, but fail to report a breach within 72 hours. Or honor access requests, but lack a valid transfer mechanism for data sent to India. Principles set the tone, but specifics matter. Think of it like driving: obeying the spirit of safety doesn’t excuse speeding through a red light.

Are All Seven Principles Enforced Equally?

Not in practice. Regulators prioritize transparency, accountability, and lawfulness—because they’re easiest to spot. A vague privacy policy? Immediate red flag. No records of processing? That’s an accountability failure. But accuracy or storage limitation? Harder to detect unless someone complains. That’s why audits often uncover those issues late.

Do the Principles Apply to Non-EU Companies?

They do—if you target EU residents. A Shopify store in Canada selling to Germans must comply. A mobile app with French users? Same. The threshold isn’t size. It’s reach. And cloud services? They’re treated as processors, so they inherit obligations. That’s why AWS and Google Cloud offer GDPR-compliant configurations. They’re not just being nice. They’re mitigating risk.

The Bottom Line

There are seven principles. Not five. Not ten. Seven. And they’re not optional. They’re enforceable, interconnected, and foundational. Most breaches start with a principle violation—often purpose limitation or transparency. Fix those, and you’re halfway to compliance. But here’s my take: the GDPR isn’t really about data. It’s about power. It forces organizations to slow down, justify decisions, and respect individuals. That’s uncomfortable. It adds friction. But friction isn’t always bad. In a world of algorithmic manipulation and surveillance capitalism, a little friction might be exactly what we need. Honestly, it is unclear whether global norms will ever align with Europe’s standard. But for now, these seven principles remain one of the strongest legal tools we’ve got. Suffice to say, they’re worth taking seriously.

💡 Key Takeaways

  • Is 6 a good height? - The average height of a human male is 5'10". So 6 foot is only slightly more than average by 2 inches. So 6 foot is above average, not tall.
  • Is 172 cm good for a man? - Yes it is. Average height of male in India is 166.3 cm (i.e. 5 ft 5.5 inches) while for female it is 152.6 cm (i.e. 5 ft) approximately.
  • How much height should a boy have to look attractive? - Well, fellas, worry no more, because a new study has revealed 5ft 8in is the ideal height for a man.
  • Is 165 cm normal for a 15 year old? - The predicted height for a female, based on your parents heights, is 155 to 165cm. Most 15 year old girls are nearly done growing. I was too.
  • Is 160 cm too tall for a 12 year old? - How Tall Should a 12 Year Old Be? We can only speak to national average heights here in North America, whereby, a 12 year old girl would be between 13

❓ Frequently Asked Questions

1. Is 6 a good height?

The average height of a human male is 5'10". So 6 foot is only slightly more than average by 2 inches. So 6 foot is above average, not tall.

2. Is 172 cm good for a man?

Yes it is. Average height of male in India is 166.3 cm (i.e. 5 ft 5.5 inches) while for female it is 152.6 cm (i.e. 5 ft) approximately. So, as far as your question is concerned, aforesaid height is above average in both cases.

3. How much height should a boy have to look attractive?

Well, fellas, worry no more, because a new study has revealed 5ft 8in is the ideal height for a man. Dating app Badoo has revealed the most right-swiped heights based on their users aged 18 to 30.

4. Is 165 cm normal for a 15 year old?

The predicted height for a female, based on your parents heights, is 155 to 165cm. Most 15 year old girls are nearly done growing. I was too. It's a very normal height for a girl.

5. Is 160 cm too tall for a 12 year old?

How Tall Should a 12 Year Old Be? We can only speak to national average heights here in North America, whereby, a 12 year old girl would be between 137 cm to 162 cm tall (4-1/2 to 5-1/3 feet). A 12 year old boy should be between 137 cm to 160 cm tall (4-1/2 to 5-1/4 feet).

6. How tall is a average 15 year old?

Average Height to Weight for Teenage Boys - 13 to 20 Years
Male Teens: 13 - 20 Years)
14 Years112.0 lb. (50.8 kg)64.5" (163.8 cm)
15 Years123.5 lb. (56.02 kg)67.0" (170.1 cm)
16 Years134.0 lb. (60.78 kg)68.3" (173.4 cm)
17 Years142.0 lb. (64.41 kg)69.0" (175.2 cm)

7. How to get taller at 18?

Staying physically active is even more essential from childhood to grow and improve overall health. But taking it up even in adulthood can help you add a few inches to your height. Strength-building exercises, yoga, jumping rope, and biking all can help to increase your flexibility and grow a few inches taller.

8. Is 5.7 a good height for a 15 year old boy?

Generally speaking, the average height for 15 year olds girls is 62.9 inches (or 159.7 cm). On the other hand, teen boys at the age of 15 have a much higher average height, which is 67.0 inches (or 170.1 cm).

9. Can you grow between 16 and 18?

Most girls stop growing taller by age 14 or 15. However, after their early teenage growth spurt, boys continue gaining height at a gradual pace until around 18. Note that some kids will stop growing earlier and others may keep growing a year or two more.

10. Can you grow 1 cm after 17?

Even with a healthy diet, most people's height won't increase after age 18 to 20. The graph below shows the rate of growth from birth to age 20. As you can see, the growth lines fall to zero between ages 18 and 20 ( 7 , 8 ). The reason why your height stops increasing is your bones, specifically your growth plates.