• Completeness of data values is the degree to which all required data values are present.

Furthermore

• Completeness of data elements is the degree to which all required data elements in the dataset are present.
• Completeness of data records is the degree to which all required data records in the dataset are present.
• Completeness of data files is the degree to which all required data files in a dataset are present.
• Completeness of metadata is the degree to which metadata is fully described.

• Missing values is a term used to indicate that data values are not complete.

DAMA NL (2020). Dimensions of Data Quality (DDQ). Research paper. https://www.dama-nl.org/wp-content/uploads/2020/09/DDQ-Dimensions-of-Data-Quality-Research-Paper-version-1.2-d.d.-3-Sept-2020.pdf