dataprotectionprinciples1

2年前—1.Lawfulness,fairnessandtransparency...Thefirstprincipleisrelativelyself-evident:organisationsneedtoensuretheirdatacollection ...,6DataProtectionPrinciples.SixDataProtectionPrinciples.ThisgraphicdescribessixDataProtectionPrinciples.Learnmorebelow.DPP1-DataCollection ...,Lawfulness,fairness,andtransparency:Anyprocessingofpersonaldatashouldbelawfulandfair.Itshouldbetransparenttoindividuals...

參考資訊如下
The GDPR

2 年前 — 1. Lawfulness, fairness and transparency ... The first principle is relatively self-evident: organisations need to ensure their data collection ...

Six Data Protection Principles

6 Data Protection Principles. Six Data Protection Principles. This graphic describes six Data Protection Principles. Learn more below. DPP1 - Data Collection ...

Principles of Data Protection

Lawfulness, fairness, and transparency: Any processing of personal data should be lawful and fair. It should be transparent to individuals that personal data ...

The meaning of "personal data" and the six data protection ...

The six data protection principles · Principle 1 – purpose and manner of collection of personal data · Principle 2 – accuracy and duration of retention of ...

A guide to the data protection principles

11 個月前 — Lawfulness, fairness and transparency · Purpose limitation · Data minimisation · Accuracy · Storage limitation · Integrity and confidentiality ( ...

Six data protection principles

Principle 1 – purpose and manner of collection of personal data. Personal data must be collected for a lawful purpose. The purpose of collection must be ...

保障資料原則

6 年前 — 1. Data Protection. Principles. 收集目的及方式Collection Purpose Et ... personal data it holds and how the data is used. PCPD. P. HK. 6. 查閱及 ...

Data protection principles

Principle 1 - Manner and purpose of collection of personal information. 1. Personal information shall not be collected by a collector for inclusion in a ...

The Seven Data Protection Principles

1. Lawfulness, Fairness & Transparency. You must have a valid legal reason for processing personal data. · 2. Purpose Limitation. · 3. Minimisation. · 4. Accuracy.