People use “data” and “information” as if they mean the same thing. The exam does not. Knowing the ladder between them is worth easy marks, and it changes how you write about every other topic in the course.
The DIKW ladder
Data
Raw facts on their own. The number 37.8. It means nothing yet, because nothing has told you what it is a measurement of.
Information
Data with context added. “Body temperature 37.8 °C, taken this morning.” Now it says something.
Knowledge
Information you can act on, because you understand the pattern. “Normal is about 37 °C, so this is slightly warm.”
Wisdom
Knowing what you should do, and whether you should. “One slightly warm morning is not worth a test, but three days would be.”
Fact → fact with meaning → fact you can use → knowing what to do
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Almost every argument about digital systems is really an argument about a step on this ladder. Machines are extremely good at the bottom two steps and much weaker at the top two.
| Step | What a computer does well | Where it struggles |
|---|---|---|
| Data | Collect huge amounts, cheaply, without getting tired | Nothing — this is what machines are for |
| Information | Add context automatically: time, place, who | Getting the context wrong and never noticing |
| Knowledge | Spot patterns humans would miss | Spotting patterns that are not really there |
| Wisdom | Nothing | Deciding whether something SHOULD be done at all |
This is the shape of most AI answers: A system that turns data into knowing what to do is doing something humans used to do. Saying which step the machine took over is a fast way into a strong part c answer.
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Two cases make the difference concrete: one where a machine climbed the ladder brilliantly, and one where it climbed it and got the top step wrong.
Real-world examples you can name
AlphaFold and the protein structure database — AlphaFold 2 published 2021; over 200 million predicted structures released July 2022
A machine-learning system that predicts a protein's three-dimensional shape from its amino-acid sequence, a problem that had resisted fifty years of work. The predictions were released openly rather than licensed.
Who it affected: Biologists worldwide, including laboratories that could never afford the equipment to determine structures experimentally.
COMPAS recidivism scoring — ProPublica investigation May 2016
A commercial risk-scoring tool used in some US courts to estimate how likely a defendant was to reoffend. Journalists found that among people who did not go on to reoffend, Black defendants were roughly twice as likely as white defendants to have been labelled high risk. The company disputed the measure of fairness used, and the argument that followed showed that competing definitions of a fair algorithm cannot all be satisfied at once.
Who it affected: Defendants whose bail and sentencing decisions were informed by the score.
Try it: In COMPAS recidivism scoring (USA, ProPublica investigation May 2016) the system had good data and produced real knowledge about patterns. What it could not do was decide whether that knowledge should be used to set someone's bail.
How this is tested — you have to tell data and information apart precisely, then use the difference to explain what a system is really doing. It comes up two ways:
Paper 1 — structured question
- Part a: define data, or distinguish data from information
- Part c: evaluate a system that turns data into decisions
Paper 2 — source-based question
- Q1: say what a data-based source shows
- Q2: explain how a source is using the word “data”
The trap: two words, one definition: Writing “data is information stored on a computer” scores nothing, because it says the two are the same. The mark is for the context that turns one into the other.
Distinguish between data and information.
Model answer plan
See the mark-by-mark plan — for / against / judgement, with marking guidance — in study mode.
Explain one reason why a digital system can produce knowledge but not wisdom.
Model answer plan
See the mark-by-mark plan — for / against / judgement, with marking guidance — in study mode.