Which concept ensures that data remains accurate and reliable throughout its life cycle?

The concept that ensures data remains accurate and reliable throughout its life cycle is data integrity. Data integrity encompasses the accuracy, consistency, and reliability of data stored in a system or database. It involves maintaining and assuring the accuracy and consistency of data over its entire life cycle, which includes data creation, storage, processing, and sharing.

Maintaining data integrity involves implementing measures such as validation checks, data entry protocols, and regular audits to prevent data corruption and unauthorized access. With high data integrity, organizations can trust that the data they are working with is a true representation of real-world values, making it crucial for decision-making processes, analytics, and compliance with regulations.

Other concepts mentioned, like data qualification and data governance, focus on different aspects. Data qualification is about assessing data quality and usability for specific purposes, while data governance pertains to the overall management of data availability, usability, integrity, and security in an organization. Data reliability speaks to the dependability of data, but does not encompass the broad and vital aspects of accuracy and consistency as comprehensively as data integrity does.