After looking at a bunch of example and reading about how people have done data journalism projects, you might be overwhelmed.

But don’t be!

Data journalism is storytelling, just like every other journalism you have done.

1) You start by identifying a story. The only difference is that we are looking for a particular type of story. We are looking for stories that are information/data heavy.

2) Once we have a story, we need to do the reporting for the story. For a print or video story, we would probably go out an interview sources. For data journalism, we want to find the appropriate dataset. There are three ways you might do this:

• Find the perfect machine readable dataset
• Find a data, which you can make machine readable
• Create a dataset

3) Once you have completed your reporting, you move to organizing the information. For print, you might transcribe an interview and read through it, pulling out the best quotes. For data journalism, you need to clean, sort, and analyze your data.

4) Next, you move on to organizing your story. In what way will you use the information you found? In this class, we will storyboard our project.

5) Finally, we will create the story, database, visualization, etc.

Through out the class, we will go through each step of this process. We will make sure that each group is on the right page at each step of the process.