Category: Data science

Collaboration and concerted action are key to making open data a reality

The case for open data is increasingly inarguable. Improved data practice can help to address concerns about reproducibility and research integrity, reducing fraud and improving patient outcomes, for example. Research also shows good data practice can lead to improved productivity and increased citations. However, as Grace Baynes reports, recent survey data shows that while the research community recognises the value […]

Book Review: We Are Data: Algorithms and the Making of Our Digital Selves by John Cheney-Lippold

In We Are Data: Algorithms and the Making of Our Digital Selves, John Cheney-Lippold examines how algorithms increasingly interpret and influence our behaviour. With the author concluding with some pragmatic suggestions for challenging the digital status quo, Daniel Zwi welcomes the book for both capably elucidating the problem of algorithmic regulation and forearming us to tackle this issue. This review originally appeared on LSE Review of […]

Journal policies that encourage data sharing prove extremely effective

There is currently little incentive for researchers to share their data. But what if it was enough for journals to simply ask authors to make their data available? Michèle B. Nuijten reports on a recent study that found journal policies that encourage data sharing to be extremely effective, with a steep increase in the percentage of articles with open data […]

Seven functionalities the scholarly literature should have

Some of the most basic functionalities to be expected of a digital object continue to elude scholarly articles, making the literature much less useful than it could be. Björn Brembs has compiled a short list of seven such functionalities that academic publishers looking to modernise their operations might invest in; from unencumbered access and improved social components, to dynamic data […]

New digital methods can be used to analyse linguistic terms and better understand Reddit communities

Reddit is now the fourth most visited website in the US. Yet, surprisingly, given its position as an extremely large community, it has been the subject of relatively little research. Tim Squirrell has developed methods of studying the genealogy, spread, and use of particular words on Reddit, as demonstrated by this case study of The_Donald, the largest pro-Trump community on […]

New digital methods can be used to analyse linguistic terms and better understand Reddit communities

Reddit is now the fourth most visited website in the US. Yet, surprisingly, given its position as an extremely large community, it has been the subject of relatively little research. Tim Squirrell has developed methods of studying the genealogy, spread, and use of particular words on Reddit, as demonstrated by this case study of The_Donald, the largest pro-Trump community on […]

It’s time designing for the colour blind became a more integrated component of academic and media training

Despite affecting one in 12 men and one in 200 women, colour blindness rarely features in discussions around access and inclusivity. Oliver Daddow explains how his preferred research methodology has been informed by his colour blindness, but also reveals the frustration he has felt since joining Twitter earlier this year. A variety of data representations are increasingly shared via social […]

Formalised data citation practices would encourage more authors to make their data available for reuse

It is increasingly common for researchers to make their data freely available. This is often a requirement of funding agencies but also consistent with the principles of open science, according to which all research data should be shared and made available for reuse. Once data is reused, the researchers who have provided access to it should be acknowledged for their […]

Without a critical approach to big data it risks becoming an increasingly sophisticated paradigm for coercion

We are in the midst of a data revolution, one reliant on the capture, analysis, and visual representation of enlarged quantitative data, in increasingly digital formats. Hamish Robertson and Joanne Travaglia argue that big data quantification is now not only a mechanism for extracting information but has become an idea with social and political power in its own right. The […]

“Words divide, pictures unite” – great historic examples of the use of data visualisation for research communication

Students, researchers and academics from across a variety of disciplines use data visualisations and infographics in their blogs and projects to better tell the stories in their data and enhance audience understanding. As part of a series previewing their new book Communicating Your Research with Social Media, Amy Mollett, Cheryl Brumley, Chris Gilson and Sierra Williams explore a short history […]