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Overview
Data use is all about how information is handled in IT systems to make it accurate, reliable, and useful.
Different types of data, such as numbers, dates, text, or true/false values, are used in different situations. For example, numeric data might be used for prices, while text is used for names. To keep data accurate,
IT systems use validation to check if the data entered is sensible and in the right format, such as making sure a phone number has the correct number of digits.
Verification is about checking that the data matches the original source, for example by double-checking entries. Validation tools include checks for data type, format, length, and range.
Verification tools include double entry and manual checking. Understanding data types, validation, and verification helps ensure that information in IT systems is correct and trustworthy, which is essential for decision-making, problem-solving, and day-to-day operations.
You will use data and information while working on your coursework.
What You Need to Learn
What You Need to Learn
Data Use
Data Use
📊 3.2.1 Use of Data Types in Different Contexts
📊 3.2.1 Use of Data Types in Different Contexts
Alphanumeric – letters and numbers (e.g. password: “abc123”).
lean – true/false or yes/no values.Date – stored in a set format (e.g. DD/MM/YYYY).
Numeric –
Currency – money values (£, $, €).
Decimal – numbers with decimal places.
Integer – whole numbers.
Percentages – parts of 100 (%).
Real –any number, real or decimal
Text – letters, words, sentences.
🔍 3.2.2 The Difference Between Validation and Verification
🔍 3.2.2 The Difference Between Validation and Verification
Validation – checks data is sensible and in the right format.
Verification – checks data matches the original source.
✅ 3.2.3 Data Validation Tools
✅ 3.2.3 Data Validation Tools
Data type check – checks the data is the right type.
Format check – checks data follows a set pattern.
Input mask – sets a template for how data is entered.
Length check – ensures data has the right number of characters.
Lookup – matches data to a pre-set list.
Presence check – ensures data is entered.
Range check – ensures data is within a set range.
Limited choice – offers set options (e.g. dropdown list).
📝 3.2.4 Data Verification Tools
📝 3.2.4 Data Verification Tools
Double entry – enter the same data twice and compare.
Manual checking – visually check data against the original.
Life-changing eye implant helps blind patients read again
A new eye implant has allowed several blind patients to read again. Five people at Moorfields Eye Hospital received a tiny 2mm microchip placed under the retina. When used with special glasses and a video camera the chip sends enhanced images to the brain giving back some central vision. The treatment is aimed at people with advanced dry age-related macular degeneration which affects more than 250,000 people in the UK. In the trial 27 of 32 patients were able to read again with some improving by five lines on an eye chart. Patients must learn to interpret the new images but early results are highly promising although the implant is not yet licensed.
Discussion point
Should new medical technologies like this be fast-tracked for NHS use when they offer major benefits but are still experimental?
https://www.bbc.co.uk/news/articles/c0qpz39jpj7o
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