Data Integrity

Question 1

Data Integrity

Answer 1

• Accuracy
• Authenticity
• Correctness
• Reasonableness
• Relevance
• Timeliness

Question 2

Accuracy

Answer 2

• Involves ensuring that data collected is correct and does not contain any errors
• When collecting primary data this may involve data validation

Question 3

Authenticity

Answer 3

Relates to how genuine the data set is, is the data genuine original and accurate

Question 4

Correctness

Answer 4

• Relates to the values stored for a given object must be correct.
• Data is also correct if it is a truthful representative of the real-world construct to which it refers

Question 5

Reasonableness

Answer 5

• Data that is reasonable means that it falls within the expected boundaries.
• Data that is believable and that checks are customarily carried out while data is being entered or
  imputed.

Question 6

Relevance

Answer 6

Measures how closely a resource or source is to what is people desire for information.

Question 7

Timeliness

Answer 7

*Relates to the age of the data – how old it is in relation to the topic of research question you are looking
at.
* Timeliness also relates to the information provided in an information system. If the information
produced is not provided in a suitable timeframe , it would be useless.

Question 8

Criteria

Answer 8

clear, defined set of requirements or
standards used to evaluate something against which specific aspects or
qualities are measured to determine suitability or success;
outlines the key factors that will be considered when making a
decision
** must be a question or statement + relate to case study

Question 9

Consequences of diminished data integrity,

Answer 9

• loss of reputation
• poor decision-making
• financial loss
• legal issues
• impacted operations