Validating biological data
Validating biological data involves multiple steps and principles. But first, let’s discuss why data validation is important. Every result we get in a biostatistical analysis depends on the validity of the data used.
The first, and one of the most important, parts of the data validation workflow is checking the source of the data—a biological experiment, specific instrument, biological observation, or other sources of data. Checking the validity of the data means first checking the validity of the data source. As an example, the experiment documentation can be checked. By checking the documentation, the analyst is sure that the instruments are validated, which helps them to verify the data. Ensuring that they can trust the data collected is essential.
Figure 15.13 – Biological data validation
Replicates are another way of validating the data during its creation process. This is specific to dynamic biological...
