{"id":15,"date":"2023-09-13T08:41:31","date_gmt":"2023-09-13T08:41:31","guid":{"rendered":"http:\/\/harvard-open-data-project.local\/?page_id=15"},"modified":"2023-09-13T08:41:32","modified_gmt":"2023-09-13T08:41:32","slug":"writing-data-driven-articles","status":"publish","type":"page","link":"http:\/\/harvard-open-data-project.local\/writing-data-driven-articles\/","title":{"rendered":"Writing Data-Driven Articles"},"content":{"rendered":"\n

Writing a data-driven article might seem daunting, but this guide will help you learn how to effectively communicate your findings in three common types of articles: Traditional Analysis, Survey Write-ups, and Scrollytelling.<\/p>\n\n\n\n

Types of Articles<\/strong><\/p>\n\n\n\n

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  1. Traditional Analysis<\/strong>: Most common type of article. It involves asking a question, finding relevant data, analyzing the data, visualizing it, and then writing an article that presents these findings.<\/li>\n\n\n\n
  2. Survey Write-up<\/strong>: HODP conducts its own surveys<\/a>, and the results are analyzed and presented in an article. Examples of this type of work include pieces on the 2020 Presidential Primaries<\/a> and on students’ COVID-19 situations<\/a>.<\/li>\n\n\n\n
  3. Scrollytelling<\/strong>: This type of article is more interactive and visual. As the reader scrolls, graphics change or are replaced, accompanied by text blurbs. An example is the New York Times piece on how the Iowa caucuses work<\/a>.<\/li>\n<\/ol>\n\n\n\n

    Writing a HODP Article<\/strong><\/p>\n\n\n\n

    Regardless of the type of article, we recommend including the following sections:<\/p>\n\n\n\n