What is the definition of quality in data management?

Quality in data management refers to the attributes that ensure data is fit for its intended purpose. This includes factors such as accuracy, which ensures that the data is correct and free from errors, and timeliness, which determines how current or relevant the data is for its use. High-quality data is essential for making informed decisions, conducting analyses, and ensuring that business operations run smoothly. Attributes such as accuracy and timeliness are critical because they directly impact the reliability and usefulness of data for stakeholders.

In contrast, other options discuss aspects that, while related to data management, do not directly pertain to the concept of quality. Data encryption methods focus on security; the volume of data stored relates to capacity rather than quality; and networking capabilities address how data is accessed and shared, not the data's inherent quality attributes. Therefore, recognizing that quality in data management hinges on attributes such as accuracy and timeliness is vital for maintaining effective data practices.