Accuracy

Definition

Data accuracy is the degree in which the data is representative of real-world features. This is an important dimension of data quality and relates to how well the data preforms when visualised and how accurate measurements are. Accuracy can be measured by the number of errors present. How accurate the data is can also increase the level of trust in measurements and broaden the use cases.

Questions to answer for accuracy:

1. Has the data been checked for errors at the point of collection and throughout processing?

2. Are there any known gaps in the dataset and has the reasoning been recorded?

3. Has the dataset met the original purpose for collection, and does it accurately represent what it was designed to measure?

4. Is the level of temporal quality, and thematic and positional accuracy high, and is there a high-level of confidence in the measurements?

5. Is the data being published with changes or corrections that could impact the way the data is presented?  

Checks that link to accuracy

1. Positional Accuracy

2. Temporal Quality

3. Data (Sounding) Density

4. Data Fliers

5. Sound Speed