What type of management is included under Technical Data Management in QA?

The correct choice highlights the significance of data integrity management as a critical aspect of Technical Data Management within Quality Assurance (QA) processes. Data integrity management refers to the practices and measures taken to ensure that data is accurate, consistent, and reliable throughout its lifecycle. This is essential for maintaining high standards in quality management, as trustworthy data is vital for informed decision-making, compliance with regulations, and overall quality assurance.

In the context of QA, data integrity supports the creation and maintenance of quality systems by providing the necessary quality metrics to evaluate performance, identify areas for improvement, and ensure product reliability.

The other options, while relevant to various aspects of data handling and management, do not specifically encapsulate the essence of data integrity as it relates to QA. For instance, data security management focuses on protecting data from unauthorized access, maintenance planning deals with the scheduling and execution of maintenance activities, and product lifecycle management centers on the overall management of a product's lifecycle from inception to disposal. Thus, none of these options address the critical function of ensuring the quality and reliability of data itself as thoroughly as data integrity management does.