Data-driven journalism has developed a lot in the last five years. We think it is time for an assessment: How accepted is data-driven work in newsrooms? What should we teach older or younger journalists to get them fit for the job?

This is a comprehensive, global study into the state of data-driven journalism. By completing this survey you will provide an insight into the day­-to-­day work of data journalists, contribute further to the systematic development of the professional practices in the area, and help to bridge the gap between professional and academic practices.

This study is targeted at professional journalists or data journalists. This means that you consider yourself a journalist or a data journalist, and earn a significant proportion of your earnings from your journalism/data journalism work.

In this survey the terms 'data journalism' and 'data-driven journalism' are used interchangeably, despite the subtle differences that one may perceive between the two.

The study is being carried out by Bahareh Heravi from the School of Information and Communication Studies at University College Dublin, and Mirko Lorenz from Deutsche Welle Innovation.

This study does not require your personal information. However, at the end of the survey you can optionally include your name, email address and Twitter handle if you would like the results to be shared with you. If you decide to do so, your identity will be held in confidence, and not included in any publications. Only the researchers will have access to the data that may include your names.

The survey is composed of 48 questions. Our estimate is that this survey will take between 8 to 12 minutes to complete.

Thank you for your participation!

In consideration of the above, I give my consent to participate in this survey, and allow my anonymised answers to be used as part of the survey results and relevant academic and non-academic publications.
Answering 'No' will terminate the survey.
This study is brought to you by Bahareh Heravi from University College Dublin and Mirko Lorenz from Datawrapper.
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