What best defines the acceptance criteria for a data requirement?

Acceptance criteria for a data requirement are essential specifications that determine whether a data requirement has been successfully met. In this context, the correct choice emphasizes the comprehensive nature of data management, encompassing not only the initiation and termination of data but also the handling of in-process data.

When developing acceptance criteria, it’s important to consider how data is created, structured, and ultimately used throughout its lifecycle. Proper initiation ensures that data is captured correctly from the start. Proper termination confirms that data is concluded in a manner that maintains integrity and usability. Additionally, addressing the handling of in-process data is critical—it involves managing data as it flows through various processes, ensuring that it is handled correctly during its lifecycle, which includes validation and transformation stages. This holistic view aligns well with best practices in data management and governance.

In contrast, the other options focus on narrower aspects of data management. Initiation and termination of data alone might overlook the complexities of data processing. Similarly, proper presentation of data, while important, does not encompass the entire lifecycle management of the data. Finally, ensuring security of the data during processing is a crucial aspect, but it is specific to the safety of the data rather than its comprehensive management from start to finish. Overall, choice C encapsulates the