Tips for selection of quality metrics

Watch the video and then summarise what you have learned.

Here are some tips for the selection of quality metrics, the dimension, and their definitions, starting with accessibility, the extent to which data is available or easily and quickly retrievable.

Appropriate amount of data, the extent to which the volume of data is appropriate for the task at hand. Believability, the extent to which data is regarded as true and credible. Completeness, the extent to which data is not missing and is of sufficient breadth and depth for the task at hand.

Concise representation, the extent to which data is compactly represented. Consistent representation, the extent to which data is presented in the same format. Ease of manipulation, the extent to which data is easy to manipulate and apply to different tasks.