What aspect of PII management is addressed by the principle of quality and integrity?

The principle of quality and integrity in the context of Personally Identifiable Information (PII) management focuses on ensuring that the data collected is accurate, complete, and up-to-date. This directly correlates with the aspect of timeliness and relevance of collected data. Quality data means that organizations must not only gather information but also continuously assess its validity and relevance to their ongoing needs and the expectations of individuals whose data is being collected.

The emphasis on timeliness means that organizations should ensure that the PII they hold reflects the current circumstances of the data subjects, facilitating appropriate usage and minimizing the risks associated with outdated or incorrect information. This principle is crucial in maintaining trust with individuals and ensuring compliance with various data protection regulations that necessitate maintaining high-quality data standards.

In contrast, the other options address different aspects of data management that are not specifically tied to the principle of quality and integrity. For example, sharing PII with stakeholders pertains more to data governance and privacy concerns rather than data quality. Retention of outdated information focuses on data lifecycle management, and automating data collection processes relates to the operational methods of handling data, rather than the quality of the data itself.