data-journalism

# Data journalism methodology Systematic approaches for finding, analyzing and presenting data in journalism. ## Story structure for data journalism ### Data journalism framework The framework for data journalism was established by Philip Meyer, a journalist for Knight-Ridder, Harvard Nieman Fellow and professor at UNC-Chapel Hill. In his book *The New Precision Journalism*, Meyer encourages journalists to treat journalism "as if it were a science" by adopting the scientific method: - Make observations / formulate a question - Research the question / collect, store, and retrieve data - Formulate a hypothesis - Test the hypothesis, using both qualitative (interviews, documents) and quantitative (data analysis) methods - Analyze the results and reduce them to the most important findings - Present them to the audience The process is iterative, not sequential. ### The data story arc **1. The hook (nut graf)** - What's the key finding? - Why should readers care? - What's the human impact? **2. The evidence** - Show the data - Explain the methodology - Acknowledge limitations **3. The context** - How does this compare to the past? - How does this compare to elsewhere? - What's the trend? **4. The human element** - Individual examples that illustrate the data - Expert interpretation - Affected voices **5. The implications** - What does this mean going forward? - What questions remain? - What actions could result? **6. The methodology box** - Where did the data come from...