Category: Data science

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 […]

Real-time data on global collaboration networks can support new research and create further connections

Cloud-based technologies provide easier access to the infrastructure and tools needed for research collaboration. The use of these tools can also provide new insights into current collaboration patterns; a picture of what is happening right now rather than what has happened in the past. John Hammersley, reporting on a recent study on research collaboration, considers how this real-time data can […]

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 […]

Book Review: The Data Librarian’s Handbook by Robin Rice and John Southall

In The Data Librarian’s Handbook, Robin Rice and John Southall examine the role of the data librarian, an emergent profession increasingly vital for academic libraries to support activities around Research Data Management (RDM). This is an accessible and engaging book full of interesting case studies and insights that will be essential for any information professional looking to broaden their knowledge of data management, […]

Patient experience feedback: we need to engage with the issues of using Big Data methods to capture the human voice

The NHS regularly asks its patients to complete surveys reporting on the quality of care they have received. These surveys include opportunities for patients to submit feedback in their own words. Carol Rivas describes how computational and digital methods can be used to analyse and report patient feedback in an efficient and timely manner. However, it is important to recognise […]

When data science meets social sciences: the benefits of the data revolution are clear but careful reflection is needed

Contemporary social sciences unquestionably benefit from the growing accessibility and availability of data sources, and the impressive developments in computational tools for data collection and analysis. However, Marta Stelmaszak and Philipp Hukal emphasise the importance of continued careful reflection when using new forms of data and methods. Any analysis of data requires reflection on the agency that went into defining, […]

Excel is threatening the quality of research data — Data Packages are here to help

This week the Frictionless Data team at Open Knowledge International will be speaking about making research data quality visible at the International Digital Curation Conference (#idcc17). Dan Fowler looks at why the popular file format Excel is problematic for research and what steps can be taken to ensure data quality is maintained throughout the research process. Our Frictionless Data project aims […]