Kvalitetsmetadata

Kvalitetsmetadata refers to descriptive information about the quality of data. It provides context and details that help users understand the reliability, accuracy, completeness, and timeliness of a dataset. This metadata is crucial for data governance, data management, and ensuring that data is fit for its intended purpose.

Key aspects of kvalitetsmetadata often include information about data lineage, which traces the origin and transformations of data. It can also detail data validation rules that have been applied, error rates, and known limitations or biases within the data. Accuracy is assessed through metrics that compare the data to a trusted source or ground truth. Completeness refers to how well the data represents the expected set of values or records. Timeliness indicates how up-to-date the data is.

The purpose of kvalitetsmetadata is to build trust in data assets. By providing clear and accessible quality indicators, organizations can empower their users to make informed decisions and avoid misinterpretations that could arise from using substandard data. It facilitates data quality assessment, monitoring, and improvement efforts. Ultimately, kvalitetsmetadata supports the principle of data as a valuable asset by ensuring its usability and integrity.