"The research analytical process includes selecting the training data, cleaning the data, developing the model through steps of training, evaluating, adjusting, re-training the model." (franzke, et al., 2020 p.41)From selecting and understanding training data, data cleaning, model-selection and training, consideration of bias, and the use of any system (what is being automated and why). Across this process, changes in the relationships between researchers and those whose data is being used have significant implications.