Archiving a website
April 22, 2022
In this guide, we show you how to download and package a website for archiving. If you have produced a website for your research project, you may wish to archive it (or be obliged by your funder to do so). Here, we show you how to do two things: (a) convert a website to a …
Automated anonymisation of texts and transcripts
November 22, 2021
In this blog, we discuss an automated process for anonymising interview transcripts, patient notes, or other free-text data containing personal information. Colleagues wishing to share participant notes or interview transcripts, for example as publication appendices or in a research data repository, will likely need to anonymise the data. Anonymisation also comes with a number of …
Conducting research interviews securely online
February 25, 2021
Interviewing online has several advantages. These include the ability to conduct interviews from anywhere, easily link to automated transcription, and take advantage of document sharing. In this blog, we offer guidance for ensuring compliance with ethical and research-data-management obligations when interviewing online. Microsoft Teams – simple and secure Staff and students at the University have …
Response to the Government’s National Data Strategy consultation
December 16, 2020
The UK Government recently invited contributions to its National Data Strategy consultation. Respondents were asked to address nineteen questions about the value of data to the UK economy and society, free access to data, data standards, security protocols, the sharing of data with international partners, and more. As the Government states on its website: The …
Features of the Research Data Repository
June 15, 2020
This blog explores some of the features and benefits of the University’s Research Data Repository. The Research Data Repository is a platform for storing and promoting your data. It allows you to make your raw data and other outputs accessible to others and guarantees their secure storage over the long term. *** In a series …
Digital Data in Cancer Research
September 25, 2019
Effective collaboration and data management using OneNote Associate Professor Alan McIntyre (School of Medicine) leads a research group that studies the effects of hypoxia (low levels of oxygen) in the context of molecular and cell biology, with a focus on cancerous tumours. The research generates large amounts of raw and processed data in multiple formats. …
Our approach to delivering Research Data Management services
January 22, 2018
As part of a broader Digital Research Environment Strategy which the University’s Information Services are delivering – a strategy described in our envisioning video – we have started working on creating new Research Data Management (RDM) services. There are multiple reasons for us to commission new RDM capabilities: First, it’s part of the normal life cycle …
FAIR in Practice?
November 10, 2017
When we talk about research data management, we often talk about researchers depositing their own data and having to identify and re-use data produced by others. However, the process of identifying suitable data and making use of other people’s data is often challenging and sometimes impossible. In a world where the volume of data is …
An Introduction to the General Data Protection Regulation for Research
October 6, 2017
The Digital Research Team are supporting the university’s preparations for the impending introduction of the General Data Protection Regulation. In this blog post, we introduce a summary of the main principles of the regulation, touch on some of the considerations for research and outline the ways in which the university is making preparations. 1. What …
Data management planning for a signature research centre
June 1, 2017
Scientific equipment can now regularly produce what we might perceive enormous volumes of data. Gene sequencers or imaging system that can produce 200 gigabytes in a day are already in common use at the University of Nottingham, and equipment already exists which can produce 100 terabytes in a day. Data volumes are always likely to …
