Data Terms

Question 1

Accuracy

Answer 1

Data should not contain errors.

Question 2

Bias

Answer 2

High quality data will limit bias. Key stakeholders should not be used to collect as they have will bias.

Question 3

Integrity

Answer 3

“A method of describing the overall accuracy, authenticity, correctness, reasonableness, relevance and timeliness of data. Data with high integrity is more reliable and trustworthy, while data without integrity should not be used in calculations or be trusted to make decisions.
“ - (VCAA Study Design Glossary, 2025)

Almost a self-referencing characteristic.
If an untrustworthy entity has gained access to the data, the integrity will be lowered.
If a data leak has occurred and the passwords are included. The integrity of the passwords is weaker. To improve the integrity of the password you should change it.

Question 4

Relevance

Answer 4

Make sure the data is related to the topic.

Question 5

Reliability

Answer 5

From a reliable source.

Question 6

Timeliness

Question 7

Authenticity

Question 8

Size

Answer 8

how big in terms of storage

Question 9

Structure

Answer 9

how the data is solved

Question 10

Accessibility

Answer 10

Can everyone access this data/information.
Data stored on my laptop hard drive has low accessibility, whereas if it were stored in Google Drive / OneDrive / iCloud that would make it much more accessible and easier to share.

Question 11

Clarity

Answer 11

Is the data/information clear. Is the message clearly communicated.

Question 12

Context

Answer 12

Where is the data coming from, what assumptions does the provider of data/information make.
For example, when a school celebrates their VCE results. The assumption is that the audience knows what VCE is and what the result means.