Wednesday , 23 April 2014
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Data journalism courses, a map in progress

A group of data journalist called DataJCrew started a project to collect academic courses on data journalism worldwide.

Over the past three years, Open Data and Open Knowledge universities and new organizations have worldwide established themselves, creating Masters and general courses to attract journalists and students to this new trend of communication, acquiring a great success. The courses are becoming more numerous and month after month you can find more of them on the web.

DataJCrew is going to regularly update this post in order to point out all the new learning opportunities.

Read more about this fascinating project or even better help them to complete their project!

What is Data Journalism?
Data-driven journalism is a journalistic process based on analyzing and filtering large data sets for the purpose of creating a new story. Data-driven journalism deals with open data that is freely available online and analyzed with open source tools. Data-driven journalism strives to reach new levels of service for the public, helping consumers, managers, politicians to understand patterns and make decisions based on the findings. As such, data driven journalism might help to put journalists into a role relevant for society in a new way.

According to information architect and multimedia journalist Mirko Lorenz, data-driven journalism is a workflow that consists of the following elements: digging deep into data by scraping, cleansing and structuring it, filtering by mining for specific information, visualizing and making a story.  This process can be extended to provide information results that cater to individual interests and the broader public.

Data journalism trainer and writer Paul Bradshaw describes the process of data-driven journalism in a similar manner: data must be found, which may require specialized skills like MySQL or Python, then interrogated, for which understanding of jargon and statistics is necessary, and finally visualized and mashed with the aid of open source tools.

A more results driven definition comes from data reporter and web strategist Henk van Ess (2012).”Data-driven journalism enables reporters to tell untold stories, find new angles or complete stories via a workflow of finding, processing and presenting significant amounts of data (in any given form) with or without open source tools.” Van Ess claims that some of the data-driven workflow leads to products that “are not in orbit with the laws of good story telling” because the result emphazes on showing the problem, not explaining the problem. “A good data driven production has different layers. It allows you to find personalized details that are only important for you, by drilling down to relevant details but also enables you to zoom out to get the big picture”.

Source: Wikipedia

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