Data Protection Act (1998)

As the quantity of sensitive data stored about users increases, it is important that legislation is in place to protect it.

Purpose of the DPA

The DPA was first published in 1998.
It determines what organisations can do with the personal data that they have collected.
The DPA also defines the rights of the individual over the data that is stored about them.
In 2018, the DPA was strengthened by the introduction of a new act called General Data Protection Regulation (GDPR).

Principles of the DPA

There are eight principles (rules) in the DPA.
The first four rules are:
- Data must be used and processed in a fair and lawful way.
- Data must only be used for the stated purpose.
- Data must be adequate, relevant and not excessive for the specified use.
- Data must be accurate and kept up-to-date.

Principles of the DPA

There are eight principles (rules) in the DPA.
The second four rules are:
- Data should not be kept longer than necessary.
- Data should only be used according to the rights of the data subject.
- Data should be kept safe and secure.
- Data must not be transferred to organisations within other countries that do not offer a similar level of protection.

The Data Protection Act 2018

The Data Protection Act 2018 is an updated data protection law, that brings the EU GDPR to UK law.
The Data Protection Act 1998 formed the origins of the GDPR law, but each act has its differences.
- The 'right to erasure' in each act is different - there are more exemptions in the 2018 version.
The Data Protection Act 2018 requires companies to run a GDPR audit.

1Components of a Computer

1.1Structure & Function of the Processor

1.1.1Structure of the CPU

1.1.2Fetch, Decode, Execute Cycle

1.1.3Factors Affecting CPU Performance

1.1.4CPU Architecture

1.2Types of Processors

1.2.1CISC & RISC

1.2.2Multicore & Parallel Cores

1.3Input, Output & Storage

1.3.1Computer Systems

1.3.2Magnetic Storage

1.3.3Optical Storage

1.3.4Types of Optical Storage

1.3.5Types of Memory

1.3.6Flash Memory

1.3.7Virtual Memory

2Software & Software Development

3Exchanging Data

4Data Types, Data Structures & Algorithms

4.1Data Types

4.1.1Data Types

4.1.2Arrays & Strings

4.1.3Representing Numbers

4.1.4Binary Arithmetic

4.1.5Hexadecimal

4.1.6Converting Binary Numbers

4.1.7Floating Points in Binary

4.1.8Floating Point Arithmetic

4.1.9Bitwise Manipulation

4.1.10Character Sets

4.2Data Structures

4.2.1Arrays, Linked Lists & Queues

4.2.2Graphs, Hash Tables & Stacks

4.2.3Trees

4.3Boolean Algebra

4.3.1Computational Logic

4.3.2Boolean Logic

4.3.3Karnaugh Maps

4.3.4Boolean Identities

4.3.5Flip Flops & Adder Circuits

5Legal, Moral, Cultural & Ethical Issues

5.1Computing Related Legislation

5.1.1Data Protection Act (1998)

5.1.2Computer Misuse Act (1990)

5.1.3Copyright Designs and Patents Act (1988)

5.1.4Regulation of Investigatory Powers Act (2000)

5.2Moral & Ethical Issues

5.2.1Online Activity Tracking

5.2.2Censorship

5.2.3Cultural Issues

5.2.4Environmental Issues

5.2.5Layout, Colour Paradigms & Character Sets

6Elements of Computational Thinking

6.1Thinking Abstractly

6.1.1Abstraction

6.2Thinking Procedurally

6.2.1Decomposition

6.3Thinking Logically

6.3.1Pseudocode & Flow Diagrams

7Problem Solving & Programming

7.1Programming Techniques

7.1.1Programming Fundamentals

7.1.2Modularity

7.2Programming Construction

7.2.1Integrated Development Environments

7.2.2Testing

8Algorithms

8.1Algorithms

8.1.1Interpreting, Correcting & Completing Algorithm

8.1.2Sort Algorithms

8.1.3Insertion & Merge Sort

8.1.4Search Algorithms

Jump to other topics