Determining Data Quality

Evaluating your data involves examining it in terms of reliability, relevance, expertise, and biases. Reliability relates to how dependable the data are$-$how current and epresentative. The relevance of the data relates to how well information applies to your specific business problem. Expertise relates to the skill and background of the researchers to address your business problem. Biases are tendencies to see issues from particular perspectives.

In this exercise, you will identify limitations to various types of data sources. You will focus on four types of limitations: reliability, relevance, expertise, and biases.

Roll over each phrase to see an entire statement about a limitation to a data source. Then, appropriate limitation category.