Data taxonomy facilitates data valuation. The origin-based data taxonomy contains four types of data (provided, observed, derived and inferred) and 10 subcategories. In this paper, we report the results of multivocal literature around the origin-based data taxonomy. The review results are used to refine the definitions of the types of data when to figure out data valuation within health care. Furthermore, we exemplify how the types of data can be recognized in health care (e.g., patient medication, alerting about risk patients, patient logistics, remote monitoring) to realize data valuation based on the proposed data taxonomy around the types of data.