the research process is somewhat similar, from what I have experienced. The three main steps in the data science process are:
data sourcing—more than mere access, it's also about understanding lineage and assessing quality and coverage;
data transformation—from filtering and simple arithmetic transformations to complex abductions like predictions and unsupervised clustering; and
results delivery—both socially and programmatically (i.e., as lines of code).