First person journalism, or democratization of opinion, when added up can yield value

Data-driven analytics currently thrives on wealth of available data that happened to be freely volunteered by others. The ultimate realization of the value of the data comes after the analytics and visualization presents a story that attracts an audience. To be relevant to the difficult and urgent problems, data science projects need to find ways to propagate the financial benefits of the final results back to the information sources in order to provide the necessary incentive to uncover the difficult to obtain data. The journalism market needs new incentives to redirect their skills toward collecting a vast number of first-person accounts. As I described earlier, the journalist’s skills are exemplified by the input and the output stages of data science projects. The mathematics and software for analytics and visualization need data to work with and story-tellers to attract audiences to the results.

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In government by data, the morning paper is data open to all

The trend toward data lakes presents a pool of data that presents multiple versions truth that are analogous to newsstands or libraries of newspapers and periodicals chronicling current events. With the increasing need for people to get their “news” from data, it may be helpful to envision data science as an evolution of journalism instead of STEM (computer and math sciences). The computer science part is the equivalent of the printing press. The value of data comes from journalist skills.