Data collection and interpretation should be conducted in a way that is:

Data collection and interpretation are critical components of any research process, particularly in biomedical engineering, where accuracy and reliability are paramount. The selection of "unbiased and objective" emphasizes the necessity for data to be gathered and analyzed without external influences or preconceptions that could skew the results.

Being unbiased means that the data collection process should not be affected by personal feelings or opinions, allowing for genuine representations of the studied phenomenon. This is crucial because biases can lead to erroneous conclusions, which can be detrimental when applied in a biomedical context, where decisions may impact health and safety.

Being objective means that the data should be evaluated based solely on observable phenomena and measurable outcomes, rather than on interpretations influenced by personal beliefs or expectations. This ensures that the conclusions drawn from the data are based on factual evidence.

Combining these two principles—unbiased and objective—ensures a systematic and credible approach to research, enhancing the validity of the findings and making them reproducible and trustworthy for further application in the field. This approach is essential for maintaining scientific integrity and fostering advancement in biomedical engineering research.