Data journalism claims to fame the expanded role that numerical data is used as a part of distributing information in the digital era and mirrors connections between journalist and in fields like design, computer science and research statistics.
So how to become a “Data Journalist” ? The answer would be Journalists working “with datas” and “with a question”.
Journalists adjusts to their part by reacting to occasions with their role as a dynamic story seeker with datas at the same.
The UK and internationally open data movement shows continual release of newsworthy data, and its easy to find released datasets by regulators, charities, entrepreneurs and scientific institutions .
Anyone could monitor the responses to Freedom of Information requests. As said by The New York Times’, Aron Pilhofer, “Start small, and start something you already know and already do. And always remember the goal is journalism” .
Second, to begin with a question before investigating the source, example if a journalist questions “how many feminist are really there in Australia”, the crowdsourcing investigative journalism will collect datas to get the answer. The Guardian’s’, Charles Arthur proposes “Discover a story that will be best told through numbers”.
Data Journalism considered 80% perspiration, 10% great idea and 10% output. Journalists invest hours influencing datasets to work, reformatting pdfs, pounding datasets together, However, with todays technology recommends more easier to collect datas.
Mostly, Journalist acts as the bridge between ‘data’ and ‘questions’ by finding answers and reporting to people who need to comprehend what that story is exactly about.