1. Data quality: Data should be accurate, reliable and verifiable. The quality of data is very important for the credibility and validity of research conclusions. High-quality limited data sets may be more valuable than a large number of low-quality data.

2. Data relevance: The data should be closely related to the research question or the topic of the paper. The correlation of data is closely related to the research objectives and requirements in the research field. In some cases, a small amount of highly relevant data may be more convincing than a large amount of irrelevant data.