There is a whole range of software packages and tools for data analyses and visualisation - from Access or Excel to dedicated packages, such as SPSS, Stata and R for statistical analysis of quantitative data, Nvivo for qualitative (textual and audio-visual) data analysis (QDA), or ArcGIS for analysing geospatial data.
For more information see the Bodleian Data Service.
The SSL also provides safe access to secure research data via the SafePod that can be booked and used by researchers internal and external to the University. For general enquiries about the SafePod Network, contact 01334 463901 or email SafePod Network (SPN).
Go to the SSL Data Services page for more information.
The process of systematically applying statistical and/or logical techniques to describe and illustrate, condense and recap, and evaluate data. There four types of data analysis: descriptive, diagnostic, predictive and prescriptive.
The representation of information in the form of a chart, diagram, picture, etc.
Involves collecting, combining, and visualising various types of geospatial data. It is used to model and represent how people, objects, and phenomena interact within space, as well as to make predictions based on trends in the relationships between places.
Involves the identification, examination, and interpretation of patterns and themes in textual data and determines how these patterns and themes help answer the research questions at hand.
Involves analysing number-based data, or data that can be easily “converted” into numbers without losing any meaning (which includes categorical and numerical data) using various statistical techniques.
See below some data-driven tools used to understand complex concepts:
Software packages comprised of tools designed to facilitate a qualitative approach to qualitative data, which include texts, graphics, audio or video. These packages (sometimes referred as CAQDAS - Computer Assisted/Aided Qualitative Data Analysis) may also enable the incorporation of quantitative (numeric) data and/or include tools for taking quantitative approaches to qualitative data.
Here are some more popular packages -
During the academic year 2024/25 a one year pilot is being run by the Bodleian Libraries to support Text and Data Mining (TDM) at the University of Oxford.
Text and data mining is a research method that uses computational processes to analyse very large sets of text or structured data and identify patterns and relationships that would otherwise remain unrecognised. It is the continual growth in both computing power and the amount of accessible material - such as the digital Bodleian Libraries subscriptions - that makes TDM possible.
The key TDM tools currently available through Bodleian Libraries, and provide APIs such as workbenches, code free dashboards and tutorials:
To find out more go to Text and Data Mining pilot project Libguide, Bodleian Data Service: Text and Data Mining webpage, or contact the Bodleian Data Librarian.
Many training opportunities are available within the University to gain valuable research skills and develop a better understanding of finding and working with data. Workshops are run by different departments, from the Bodleian Library's iSkills sessions to IT Learning Centre courses. Booking links are available in the course description.
Online training opportunities, as well as various workshops, seminars and conferences are also available from UKDS and other organisations.
For students embarking on their dissertation projects, or those supervising them, the UK Data Service offers dissertation resources, data and events to help with planning and completing a dissertation project.
UK Data Service student pages
The student web pages in the Learning Hub bring all student resources together in one place. On these pages, you can find information about the UK Data Service, its data collections and how you can find and access these.
If you’re unsure about why you might want to use existing data sources in your research project, then watch video Secondary analysis What and why?
You can also find out more about using survey data in a dissertation or finding and accessing data for your project.
Want to boost up your data skills? Try interactive data skills modules for users who want to get to grips with key aspects of survey, longitudinal or aggregate data.
Useful data
The UK Data Service holds a wealth of data on many different topics that students may wish to explore in their dissertation projects.
UKDS student pages provide guides on top surveys for dissertation projects. This includes the Quick start guide: British Social Attitudes (BSA) and Quick start guide: Health Survey for England (HSE).
The Browse Data pages also allow you to search data by key themes or data types.
Free workshop
UKDS is also hosting the following free workshop for dissertation students. If you are interested but can’t attend UKDS' YouTube channel includes recordings of all webinars and workshops. You can also find video tutorials such as using SPSS playlist.
Dissertation Award
The UK Data Service Dissertation Award recognises students who use data from the UK Data Service in their undergraduate dissertations. Each year we give awards to the three best dissertations from the academic year.
