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 […]
Category: big data
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 […]
Starter tips on sharing data and analysis scripts
Researchers are increasingly encouraged to make their data openly accessible and usable for others. To early-career researchers in particular, this can seem daunting, with different considerations when posting data publicly rather than retaining it solely for internal use. Katherine Wood has compiled a short open data starter guide to make the process less overwhelming and help researchers do their bit for […]
The number and proportion of freely available articles is growing; reaching 45% of the literature published in 2015
Using open data and open services, a large-scale study of the state of open and free access has found both the number and proportion of articles freely available to the public is growing, having reached 45% of the literature published in 2015. Juan Pablo Alperin reveals more about this study and suggests we are at the beginning of a new […]
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 […]
Research should not allow the loud voice of online content production to drown out the quiet majority of internet users
Social science research aims to record, analyse, and make sense of social mess; to observe and account for everything in a given setting. Why, then, does so much of the research carried out online refuse to do this? Harry Dyer argues that in order to understand the social uses of the internet, it is crucial that research is not focused […]
In order to fully realise the value of open data researchers must first address the quality of the datasets
There has been a phenomenal increase in the availability of data over the last decade. Open data is provided as a means of empowering users with information and in the hope of sparking innovation and increased efficiency in governments and businesses. However, in spite of the many success stories based on the open data paradigm, concerns remain over the quality […]
In order to fully realise the value of open data researchers must first address the quality of the datasets
There has been a phenomenal increase in the availability of data over the last decade. Open data is provided as a means of empowering users with information and in the hope of sparking innovation and increased efficiency in governments and businesses. However, in spite of the many success stories based on the open data paradigm, concerns remain over the quality […]
Engaging with sensor-based methods for social sciences research is necessary, overdue and potentially rewarding
Sensors are an important source of big data. Developments at the heart of “smart cities” or the exploding “quantified self” movement are all reliant on sensors. However, attempts by social scientists to engage with sensors from a methodological perspective have been rare. Jörg Müller argues that such engagement is not only necessary and overdue, but also potentially rewarding. It’s important […]