Which is a suitable definition of 'data' in research?

In research, data is best defined as quantitative and qualitative information gathered during the investigation process. This definition encompasses both numerical data, which can be measured and analyzed statistically, and qualitative data, which includes descriptive information that provides context and insight into the subject being studied.

Quantitative data might include measurements, counts, or statistical figures, while qualitative data consists of observations, interviews, and open-ended responses that explore the nuances of the research topic. Together, they provide a comprehensive basis for analysis, allowing researchers to understand phenomena both from numerical and contextual perspectives.

The choice that includes general opinions expressed verbally does not capture the systematic collection aspect of research data. Similarly, stating that the information comes only from unreliable sources does not align with the rigorous standards of data collection necessary in research. Lastly, focusing solely on statistical measurements limits the depth of understanding, as qualitative insights are equally important for a well-rounded research approach. Thus, option B captures the full scope of what constitutes data in research.