In “An Outline for Computational Art History”, Lev Manovich presents a set of questions that art historians can use in creating digital projects or investigations. He recommends 3 steps:

1. Which stage in the process of circulating art do you want to analyze?
2. What types of data do you want to analyze?
3. At which point in the stage of data processing would you like to be?

As digital methods grow in popularity among the humanities and art history fields, it is vital for one to consider the procedures of his or her investigation. Art historians may underestimate the amount of collaboration and effort they will have to put into a project, and Manovich’s outline can establish realistic and effective expectations. Manovich’s process can also assuage the fears of art historians unfamiliar with digital technology and investigations. In its outlining of categories, it assures them that they can engage with data at the level which they feel most apt and can ask others to help fill gaps in digital prowess.