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 measurements are (accuracy)level of trust in measurements and broaden the use cases.
Questions to answer for accuracy:
Has the data been checked subjected to quality assurance processes? (Checked for errors at the point of collection and throughout processing)?
Are there any known gaps in the dataset and has the reasoning been recorded?
Has the dataset met the original purpose for collection, and does it accurately represent what it was designed to measure?
Is the level of temporal quality, and thematic and positional accuracy
Is the level of temporal quality and positional accuracy high, and is there a high-level of confidence in the measurements and is the version history mentioned when the datasets are made available to the public?
Is the data sounding speed checked and corrected especially at the outer beams of adjacent files?
Is the level of data sounding density is high, and is there a high-level of confidence in the measurementscoverage?
Is the data being published with changes or corrections that could impact the way the data is presented? fliers checked and is there a high-level of depth and resolution accuracy?
Is there any information available about No adjustments, changes that can impact on the validity of the data? (Changes or flaws in the collection or verification methods)? Or Adjustments are identified in caveats attached to the dataset.
Checks that link to accuracy
Temporal QualityThematic accuracy