Why is traceability to the originator of data important in a test database?

Why is traceability to the originator of data important in a test database?

• A. For accountability and data integrity
• B. To minimize costs
• C. To satisfy regulatory requirements
• D. It is not important

Answer: (A)

Traceability to the originator of data is essential in a test database for several key reasons related to accountability and data integrity. When data can be traced back to its original source, it ensures that all information is verifiable, allowing for the identification of any errors or issues that may arise during testing. This accountability is crucial in maintaining the credibility of test results, as stakeholders can rely on the data knowing its source. Moreover, data integrity is significantly enhanced when there is a clear line of traceability. It allows for robust auditing processes and helps in tracking changes made to the data over time. By knowing who originated the data, it becomes easier to determine whether proper procedures were followed during data collection and handling, which is vital for ensuring reliable outcomes in testing and evaluation. While minimizing costs and satisfying regulatory requirements are important considerations in test and evaluation practices, the primary focus in this context is on establishing a reliable foundation for data accuracy and validation, making accountability and integrity the highest priorities.

Traceability to the originator of data is essential in a test database for several key reasons related to accountability and data integrity. When data can be traced back to its original source, it ensures that all information is verifiable, allowing for the identification of any errors or issues that may arise during testing. This accountability is crucial in maintaining the credibility of test results, as stakeholders can rely on the data knowing its source.

Moreover, data integrity is significantly enhanced when there is a clear line of traceability. It allows for robust auditing processes and helps in tracking changes made to the data over time. By knowing who originated the data, it becomes easier to determine whether proper procedures were followed during data collection and handling, which is vital for ensuring reliable outcomes in testing and evaluation.

While minimizing costs and satisfying regulatory requirements are important considerations in test and evaluation practices, the primary focus in this context is on establishing a reliable foundation for data accuracy and validation, making accountability and integrity the highest priorities.