Data validation
- 2. What is Data Validation? It is the process of ensuring that a program operates on clean, correct and useful data. It uses routines, often called "validation rules" or "check routines", that check for correctness, meaningfulness, and security of data that are input to the system that is the computer checks thr data you enter and if it is correct and make sence.
- 3. Methods for checking for data validity •Visual/manual •Aggregation •Reviewers guide •Auto data checks •Record counts •Spell checks •Have data provider review
- 4. Differences bt validation and verification Types of validation
- 5. Data Type
- 6. How? List menu Create a validation rule Input mask
- 7. Validation types Format check – e.g. two letters followed by two numbers – PR15 would be valid but PRX71 would not. Presence check – checking that the field contains any data. Range check –checking that the data is between certain numbers or letters, e.g. A–E. Lookup check – checking that only values from a set list can be entered, e.g. M or F. Size check – checking data falls within a minimum or maximum number of characters.
- 9. Verification Is done by the user By entering the data twice and comparing the values entered is a form of verification. Verifying that there are no spelling mistakes Correct data is entered - ie correct name, address, postcode
- 10. Validation Is checked by software Is it the correct data type – date of birth in a currency field Would not pick up spelling mistakes Would not detect incorrect data of the same data type being entered