Data journalists often get their ideas from a variety of sources, including questions and tips from readers, news events, and data releases. In this guide, you'll find some tips on how to generate new deas for your data journalism reporting.
In this latest article, we provide a guide to the different programming languages for data journalists. We examine how R and Python differ and what they can offer you for your next data story.
Existing data-driven tools and software can help alleviate the pressure points for journalists in their day-to-day reporting. Monika Sengul-Jones explains the benefits and challenges of incorporating them in the newsroom.
Machine learning can help journalists analyse massive datasets and pinpoint misclassifications for their investigative reporting. Monika Sengul Jones explains how through examining a series of case studies from ICIJ to Buzzfeed News, Grist and more.
Take a look at this collection of the best newsletters on data journalism. Stay up to date by subscribing to them.
Data journalism can go beyond hard news. Sabrina Faramarzi explains how journalists can inject data into their fashion, music, consumer, travel and other lifestyle stories.
Becoming a data journalist can be a tricky endeavour. In this article, we hear how these journalists and academics carved out a role for themselves and made it happen.
Take a look at this collection of the best podcasts on data journalism. Stay up to date by following these six great resources!
Drone journalism isn't just for photojournalists. News organisations can use sensors and mapping technology from UAVs to create a range of data sets for storytelling, explains Monika Sengul-Jones.
Journalists are embracing the power of data journalism and data visualisation. Here are 10 reasons why you should try it out for yourself and your newsroom.
Excel 365’s dynamic array functions and their radically new and powerful take on formulas will help put you and the data on speaking terms, writes Abbott Katz. Here's how journalists can take advantage of the full potential of Excel spreadsheets.
How can journalists use a hypothesis-driven methodology to build a succinct narrative that serves forgotten or overlooked communities? Eva Constantaras and Anastasia Valeeva share their expertise in our latest guide.
Ben Jones explains how journalists can close the data literacy gap and reveals his top tips and tricks for becoming an effective data storyteller.
How can data journalism be used to ensure the accuracy and impact of war reporting? Sherry Ricchiardi provides a journalist's guide for using data to report on conflict-affected regions remotely.
The data journalism community has long been known for its collaborative spirit in sharing knowledge and expertise. Discover some useful online communities for journalists that will help you enrich your educational journey and network.
Learn to use data in a creative and inventive way through hand-drawing data visualisations. Dr Amelia McNamara explains how in her latest article.
Sonification is all around us. But how can journalists take advantage of it for data storytelling? Miriam Quick and Duncan Geere take us through some compelling examples of how to bring data sonification into your reporting.
DataJournalism.com celebrates some of the most noteworthy covid-related data stories of 2020.
More than 85 journalists in 30 countries collaborated on the FinCEN Files investigation. It involved extracting data on more than $2 trillion dollars in transactions between 1999 and 2017 reported as suspicious to a US treasury department.
The more journalists know about polls, how they work and how to evaluate their quality, the closer they come to clarity and accuracy in reporting. We explore resources and advice from experts on how to cover polling data in the 2020 elections.
From The New York Times to the Associated Press and ProPublica, journalist Sherry Ricchiardi explores how journalists can tell stories about the impact COVID-19 is having on society's most marginalised groups.
While many journalists around the world report the daily infection rate and death toll of COVID-19, audiences are seeking other stories that show the impact of the virus on their lives. How can journalists tell those wider stories with data?
Often referred to as the fourth estate, journalism is key to a democratic society. But sometimes just reporting on an issue isn’t enough. To promote accountability, Eva Belmonte explores how data is blurring the lines between advocacy and journalism.
In a world where journalists are also ‘numbers’ people, teachers need to find innovative ways to overcome their students' math anxieties. Using research from other disciplines, Kayt Davies outlines fun exercises that can be used in any classroom.
Geographical information systems, or GIS, provide one of the most efficient means of uncovering spatial patterns in geographic data. Jacques Marcoux provides a walkthrough of how GIS tools can be leveraged for original news content.
Bad predictions, especially in high-stakes stories, can be more than confusing and misleading -- they can be dangerous. G. Elliott Morris draws on examples from political journalism to describe some guidelines for good predictive journalism.
Personal information is often mixed in with data that are vital to a story, raising ethical questions around publication. Vojtěch Sedlák covers four techniques to de-identify data and simple ways journalists can introduce them into their workflows.
It is generally believed that numbers are hard and judgements are soft. But metrics and indices are much softer than we would like to think. With case studies from Africa Check, Morten Jerven covers the basics of cross examining statistics.
What are the most effective ways to introduce students to data? From Ireland to Kyrgyzstan, there's a lot to be learnt from teachers all around the world.
Humans have been embedding data into the properties of physical objects for millennia, so why don't modern journalists? Alice Corona explores the newsroom benefits of producing data physicalisations, along with a tutorial to help you get started.
While data journalists often produce rigorous reporting about social issues, there is less on responding to the same problems. Brent Walth provides an overview of solutions journalism frameworks, and why they're important for data journalism.
When we think of data journalism, we usually don't think of radio. Yet, data can power all forms of reporting, even those that aren’t visual. We spoke to six data experts to uncover best practices for representing data through sound.
Armed with data, fact-checking organisations work tirelessly to help separate facts from fiction, and any misnomers in-between. Here's how they do it.
The 2018 World Cup might be over, but that doesn’t mean we can’t enjoy the data journalism that it inspired. We collated a full roundup of data journalism that dissected, predicted, and queried the World Cup.
Major newspapers across Europe have found a solution to protect local journalism: robot journalists. But, will robot reporting ever be entirely neutral? Alexander Fanta looks at the potential biases in robo-journalism.
In the contemporary climate of distrust, how can data be leveraged to reimagine social issues? The Engagement Lab at Emerson College spoke to 40 American civic media practitioners to find out.
Reporting and handling Twitter data, which can contain personal or sensitive content, requires an ethical mindmap. Luckily, we have one.
How do data journalists make ethical decisions? Using case studies from gun permit reporting, this article showcases the power of online discussion in solving ethical dilemmas.
As computational methods become more prevalent in the newsroom, Jennifer A. Stark examines the standards and expectations for ensuring editorial transparency.
By holding a magnifying glass to systemic flaws in society, data journalism can encourage positive change. Conversely, when published without context or consideration for ethics, it can cause harm through the perpetuation of stereotypes and biases.
Accountability journalism represents the very best journalism in the industry. But even the best journalism has been disrupted by the emergence of social media. How can we regain and retain our distracted and distrusting audiences?
Geographic maps can be very illuminating, but sometimes bigger countries overshadow smaller ones, leading to false assumptions. Overcome this problem is by creating a map where all countries are the same size.
Bahareh Heravi interviews Mar Cabra about the power of using data for investigative projects.
When journalists try to communicate large amounts, they have a tendency to measure area in multiples of football fields, and volume by Olympic swimming pools. But this isn't always the most effective approach.
Despite the growing interest in data journalism in academia and newsrooms, there is a lack of systematic research into this domain, resulting in a divide between academic and industry practices. Bahareh Heravi bridges the gap with Megan Lucero.
From audience metrics, to spreadsheets and databases hoovered up during news-gathering, Dick Murray looks at how the explosion of data in journalism affects the news.
Where does data come from? What can journalists do with it? And what happens once they're done with it? Jonathan Stray explores these questions and more.
Because these can easily lead to bad conclusions, technical misunderstandings raise important ethical challenges. Jonathan Stray highlights a straightforward problem that is often ignored: the margin of error in the available data.
The ability to create interactive visualisations is a widely sought skill in newsrooms. But non-coding journalists often feel nervous getting started. Scott Murray provides valuable advice on learning D3.js and when to expect productivity.