Computer Studies·Organisation of data · NSSCO 3.2
Data vs information, automatic data capture, validation & verification
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Raw data is just facts on their own; information is data that has been given meaning. In this lesson we see how computers capture data automatically, and how they check that the data going in is sensible and accurate using validation and verification.
What you'll learn in this lesson
By the end you should be able to (NSSCO Computer Studies 3.2):
- Explain the relationship between data and information
- Discuss different automatic data capture techniques such as: barcode scanning, Optical Mark Recognition (OMR), Optical Character Recognition (OCR), Touch screen, 2D / 3D scanners, QR codes, interactive smart boards, use of sensors, others
- Describe data capture through external storage media: flash memory, SSD, the cloud
- Describe data validation (using of different validation checks) as method of checking correctness of data on entry: range check, presence check, character check, format check, length check, type check
- Describe data verification (double entry or visual check) as method of checking correctness of data on entry
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