Figure 1.

The genomic nursing data science life cycle and spectrum of nurse scientists, both researcher and clinician, roles. Note. The data science life cycle starts with a research question that informs all other subsequent steps: Collecting or obtaining omics and phenotype data, wrangling and preprocessing data, analyzing and interpreting data, and translating and implementing findings from the data. The rectangle at the bottom of the figure represents the spectrum of genomic nursing data science levels of training/roles ranging from bachelor’s prepared nurses, who are more likely to participate in the data collection and clinical implementation steps of the life cycle, to nurse data scientists, who are likely to be experts in and perform data wrangling, preprocessing, and analysis. The spectrum emphasizes that a nurse scientist may participate in several steps or have multiple roles.