Zusammenfassung der Ressource
Data and quality of data
- Data - raw facts/figures (no meaning)
- Data + meaning = information
- information + understanding = knowledge
- Data can be numbers, words, pictures, videos and sounds
- Data goes into a computer and useful information comes out
- must be good quality
- GIGO - Garbage in Garbage out
- Incorrect data goes in = incorrect information comes out
- Quality of data
- Fit for purpose
- Asking for someones religion is NOT fit for purpose
- Accurate
- incorrect items could be delivered if data isn't accurate
- Up to date
- Correct address so products can be delivered
- Valid
- Ordering food in B&Q won't be valid data
- Non-biased
- Collecting data from a random sample
- Data validation
- Data needs to have NO ERRORS
- Validation spots the errors
- Types of errors
- Wrongly recorded
- Data capture forms designed to minimise errors
- entered incorrectly
- double keyed or proof read
- Could be changed by unauthorised personel
- security (passwords)
- Corrupted during transmition
- encryption
- checks data BEFORE processed
- Data Verification
- Checks data AFTER being processed
- validation techniques
- Range check
- numerical data lies within an acceptable range
- 1-31 DAYS OF THE MONTH
- presence check
- is any data missing?
- Format check
- Data in correct format
- Check digit
- Calculation creates an extra digit
- computer checks that the check digit is correct when data is entered