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it is quantitative
false
The fact that the data is qualitative or quantitative does not in and of itself have anything to do with its reliability.
A reliable investigation will allow you to make conclusions that are supported by the data you have collected,and that reflect the findings of other scientists.
When we call data biased, we mean that someone has been dishonest because they seek some personal gain by having data interpreted in a certain way. For example, manufacturers of cigarettes used to concoct supposedly scientific studies proving that cigarettes are perfectly safe to smoke, if not actually beneficial to your health, which we now know is a lie. That is biased data. Reliable data is data that is based on the most accurate and honest observations of which we are capable.