infoculture/awesome-datajournalism

Living in Data: A Citizen's Guide to a Better Information Future (Paperback)

Jer Thorp’s analysis of the word “data” in 10,325 New York Times stories written between 1984 and 2018 shows a distinct trend: among the words most closely associated with “data,” we find not only its classic companions “information” and “digital,” but also a variety of new neighbors—from “scandal” and “misinformation” to “ethics,” “friends,” and “play.”To live in data in the twenty-first century

Guest Post — Exploring Data Spaces in Scholarly Communications - The Scholarly Kitchen

Today's guest post explains the new data space pilot, which will be the focus of the upcoming BISG/SSP webinar on May 12, 2026.

Data Scientist: The Sexiest Job of the 21st Century

Back in the 1990s, computer engineer and Wall Street “quant” were the hot occupations in business. Today data scientists are the hires firms are competing to make. As companies wrestle with unprecedented volumes and types of information, demand for these experts has raced well ahead of supply. Indeed, Greylock Partners, the VC firm that backed Facebook and LinkedIn, is so worried about the shortage of data scientists that it has a recruiting team dedicated to channeling them to the businesses in its portfolio. Data scientists are the key to realizing the opportunities presented by big data. They bring structure to it, find compelling patterns in it, and advise executives on the implications for products, processes, and decisions. They find the story buried in the data and communicate it. And they don’t just deliver reports: They get at the questions at the heart of problems and devise creative approaches to them. One data scientist who was studying a fraud problem, for example, realized it was analogous to a type of DNA sequencing problem. Bringing those disparate worlds together, he crafted a solution that dramatically reduced fraud losses. In this article, Harvard Business School’s Davenport and Greylock’s Patil take a deep dive on what organizations need to know about data scientists: where to look for them, how to attract and develop them, and how to spot a great one.

Data Is Plural

A weekly newsletter of useful/curious datasets.

A first introduction to data science education in secondary schools: Teaching and learning about data exploration with <span style="font-variant:small-caps;">CODAP</span> using survey data

Abstract In this paper, we will describe an introduction to Data Science for secondary school students. We will report on the design and implementation of an introductory unit on “Data and data detectives with CODAP” in which secondary school students used the online tool CODAP to explore real and meaningful survey data on leisure time activities and media use (so‐called JIM‐PB data) in a statistical project setting as a starting point for data science. The JIM‐PB data set served as a valuable data set that offered meaningful and exciting opportunities for data exploration for secondary school students, and CODAP proved to be a valuable tool for the first explorations of this data.

Data Science in 2020: Computing, Curricula, and Challenges for the Next 10 Years

In the past 10 years, new data science courses and programs have proliferated at the collegiate level. As faculty and administrators enter the race to provide data science training and attract new ...

A View Of The Future Of Our Data

Welcome to the era of data coalitions.

Data Feminism

A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism.Today, data science is a form of power. I

Newsrewired

13-14 May 2026 | A conference for innovators in digital publishing

Highlights of the National Academies Report on "Undergraduate Data Science: Opportunities and Options” · Issue 1.1, Summer 2019

An interview with Laura Haas and Alfred Hero by Robert Lue

Denver Data Dialogues | Meetup

In 2026, Datalere will host **Denver** **Data Dialogues**, insights for data leaders, an in-person networking event featuring guest speakers, panels, catered food (not pizza) and more!This is a re-boot of our old meetup, **Data Science in Colorado**, but this time with a broader set of topics and ne

Google is building a search engine for fact checks - Poynter

From person-to-person coaching and intensive hands-on seminars to interactive online courses and media reporting, Poynter helps journalists sharpen skills and elevate storytelling throughout their careers.

Video course: Python for journalists | DataJournalism.com

The course Python for Journalists is meant for journalists looking to learn the most common uses of Python for data journalism. During four modules the…

Dynamic Data Science

<p>Use our Common Online Data Analysis Platform (CODAP) to explore dynamic data science activities and gain fluency in data moves to examine large datasets.</p>