Which of the following is not a key performance measure associated with ensuring high-quality safety data?

High-quality safety data relies on several critical performance measures that directly influence its effectiveness and usability. Timeliness refers to the need for data to be collected and made available promptly, which ensures that decisions can be based on the most current information. Completeness ensures that the data covers all necessary areas and variables needed for thorough analysis, leading to more robust conclusions and recommendations. Integration is also essential, as it allows for various data sources to be combined and analyzed collectively, enhancing the overall quality and insight derived from the data.

In contrast, while data file size may influence storage or processing capabilities, it does not inherently measure the quality or effectiveness of the safety data itself. It is not directly associated with the key aspects that determine how well the data serves its intended purpose in improving road safety. Thus, it is not considered a key performance measure in this context.