Category: Data science

Mapping the impact of UN Sustainable Development Goals on global research

The UN Sustainable Development Goals (SDGs) represent one of the largest and most sustained influences on global research to date. However, charting the effect of these 17 goals on the global research community is a complex task. In this post, Martin Szomszor draws on the findings of a recent bibliometric study to produce a ‘citation map’ of sustainability research, which […]

Becoming a data steward

In this post Shalini Kurapati introduces the concept of data stewarding. Drawing on her own experience, she describes how data stewarding has developed an important role in delivering open science and research in higher education and research institutions and discusses how data stewarding also presents an important opportunity for post-doctoral researchers to develop careers within and beyond academia. Like most […]

Building online personas: Has social media become an exercise in self-branding?

In this post, Gal Oestreicher-Singer, Hilah Geva,  and Maytal Saar-Tsechansky, discuss the extent to which users of twitter use the platform in order to diversify their identities, or to maintain ‘on message’ branded identities. Presenting a novel methodology, their findings suggest that twitter has become a tool for targeted self promotion, behaviour that is especially prevalent in professional bloggers. More than 20 […]

Big Qual – Why we should be thinking big about qualitative data for research, teaching and policy

When social scientists think about big data, they often think in terms of quantitative number crunching. However, the growing availability of ‘big’ qualitative datasets presents new opportunities for qualitative research. In this post, Lynn Jamieson and Sarah Lewthwaite explore how ‘big qual’ can be deployed as a distinct research methodology to develop new forms of qualitative research and elucidate complex interactions […]

What does Facebook’s #tenyearchallenge tell us about public awareness of data and algorithms?

Helen Kennedy reflects on the recent #tenyearchallenge trend. Looking at responses to the challenge, she considers what they tell us about the public understanding of data and the companies that utilise it. Drawing on qualitative and survey data on the levels of public awareness, she finds that what the public knows about data continues to be unclear.  Facebook, Instagram and […]

What does Facebook’s #tenyearchallenge tell us about public awareness of data and algorithms?

Helen Kennedy reflects on the recent #tenyearchallenge trend. Looking at responses to the challenge, she considers what they tell us about the public understanding of data and the companies that utilise it. Drawing on qualitative and survey data on the levels of public awareness, she finds that what the public knows about data continues to be unclear.  Facebook, Instagram and […]

The main obstacles to better research data management and sharing are cultural. But change is in our hands

Recommendations on how to better support researchers in good data management and sharing practices are typically focused on developing new tools or improving infrastructure. Yet research shows the most common obstacles are actually cultural, not technological. Marta Teperek and Alastair Dunning outline how appointing data stewards and data champions can be key to improving research data management through positive cultural change. This […]

Research data should be available long-term…but who is going to pay?

There is now a broad consensus that sharing and preserving data makes research more efficient, reproducible and potentially innovative. As such, most funding bodies now require research data to be stored, preserved, and made available long-term. But who is going to pay for this to happen? Marta Teperek and Alastair Dunning outline how the costs of long-term data preservation are […]

Book Review: Bit by Bit: Social Research in the Digital Age by Matthew J. Salganik

In Bit by Bit: Social Research in the Digital Age, Matthew J. Salganik explores the process of undertaking social research in the digital era, examining a wide range of concepts while also offering teaching activities and materials. In bringing together the expertise of social and data scientists to the benefit of both, this is a comprehensive overview of new approaches to social research […]

Data-driven discrimination: a new challenge for civil society

Data-driven technologies have been a transformative force in society. However, while such innovations are often viewed as a positive development, discriminatory biases embedded in these technologies can serve to compound problems for society’s more vulnerable groups. Having recently published a report on automated discrimination in data-driven systems, Jędrzej Niklas and Seeta Peña Gangadharan explain how algorithms discriminate, why this raises […]