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Preview

Using data fairly and judging its value

This is the first page of the lesson. Read it and have a go at the activities. The rest is in the full lesson.

40 minutes

A calculator that wants your photos

You download a free calculator app. It does sums. Then it asks to see your photos, your contacts and where you are.

A calculator needs none of these. So why does it ask? Somebody wants your data. Is that fair? And is data always worth having? Today you learn how to decide.

Key words

WordWhat it meansExample
EthicsIdeas about what is right and what is wrong.Is it fair to sell a person's data?
Personal dataFacts that can identify a living person.Name, address, photo, phone number
ConsentA person says yes freely, and they know what they say yes to.Ticking a clear box
BiasData that treats some groups unfairly or leaves them out.A survey that only asks boys
QuantityHow much data you have.500 answers
TimeframeThe time the data covers, and how old it is.Sales from the last 12 months
SourceWhere the data came from, and who made it.A college survey
VeracityHow true and correct the data is.Ages that are real, not made up

The cells students fill in are left blank in this preview.

Quick check: fair or not?

Have a go

Quick check: fair or not?

3 questions
Have a go: your answers are marked here and then forgotten. Sign in if you would like your score kept, and to pick up where you left off.Sign in to keep your score

Your answers are marked here and are not kept. A college account keeps every student’s marks.

Fair use of data

Good practice has simple rules.

Collect only what you need. Tell people why you want it. Ask for consent. Keep the data safe. Do not keep it for ever. Let people see their data and ask for it to be removed.

Fair also means not biased

Ethics is not only about privacy. Data can also be unfair.

A survey asks only 20 students at the sports club what they eat. Then it says students love meat. That data has bias. It left out students who do not play sport. A decision made from biased data can hurt people.

Is the data worth having?

Ethical data can still be poor data. Before you trust it, ask four questions.

How much do I have? How old is it? Where did it come from? Is it true? These are quantity, timeframe, source and veracity.

The four value measures

MeasureQuestion to askGood signBad sign
QuantityHow much data is there?2,000 answers3 answers
TimeframeHow old is it? What time does it cover?This yearTen years ago
SourceWho made it?The college itselfA stranger on a website
VeracityIs it true and correct?Checked and matched with a second sourceMany empty or impossible values

The cells students fill in are left blank in this preview.

The lesson goes on

7 more parts of this lesson are in the full curriculum, with the tasks, the final check and the labs. A college account gives your students all of it.