Unit 6.2 Data Integrity

Data Integrity

Data Integrity

Accuracy, consistency, and reliability of data.

Data Validation

Ensuring entered data is reasonable and sensible in a computer system.

Data Verification

Comparing sets of data to ensure they match during entry or transfer to detect errors.

General Data Protection Regulations (GDPR)

Mandates companies to keep personal data accurate and up-to-date.

Range Check

Validating data falls within specified boundaries, like age range

Type Check

Verifying data is of the correct type, such as numbers for age and letters for names.

Length Check

Ensuring data has a specific number of characters, like a minimum of 8 characters for a password.

Presence Check

Verifying that data has been entered, like ensuring a password box is filled.

Format Check

Ensuring data follows the correct format or structure, like dates as DD/MM/YYYY

Existence Check

Checking if data is in another file, such as verifying the uniqueness of a username.

Limit Check

Verifying data falls within upper or lower limits, like exam marks not exceeding 75.

Check Digit

Adding a parity bit or check-sum to detect errors, like ensuring a correct barcode number entry.

Parity Checks

Adding a bit to data sequences to ensure an even or odd number of bits with value 1 for error detection.

Checksums

Calculating a value from data to ensure integrity and detect errors during transmission or storage, like using the Modulo 10 method.