Abstract
This chapter provides an overview of certain data structures associated with biomedical research, and summarizes some of the technological and clinical contexts wherein data modeled via these corresponding structures is acquired. We will motivate this discussion by reviewing basic principles of personalized medicine and patient-centered care, especially in the COVID-19 context. Later chapters will pursue a more abstract, systematic, or holistic account of these (and similar) data structures, data types, and data profiles, insofar as they are construed as formal artifacts within digital information spaces, computational environments, and software design patterns. In this chapter, however, our goals are more empirically focused; we will try to convey a sense of the biomedical data landscape by describing several important varieties of biomedical information, as a precursor to more theoretical discussions later in the book.
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