Working with Data
Find training and support for understanding the different principles and practices of working with data in your research.
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Ask JGI
Get free support from the Jean Golding Institute 'ask a data scientist' service by contacting ask-jgi@bristol.ac.uk
Remember!
Your School or Supervisor should support you with any additional in-depth or discipline specific data analysis training.
Quantitative Data Analysis
Introduction to Quantitative Data Analysis (workshop)
This full-day course will prepare you for conducting quantitative data analysis as part of your research degree. . Attendees will gain a better understanding of data measurement, collection and reporting strategies, different types of numerical data, how to identify the potential limitations of research design, and more.
The course is available twice a year and is best suited for researchers in the early stages of their research degree
Find more information and sign up using the PGR events calendar
Data Science and Research Software Engineering Training (workshops)
All University of Bristol students and staff can access free online training workshops as part of our university-wide training programme. This includes workshops on data science, coding/programming, use of high performance computing (HPC) and best practices. These workshops are run and facilitated by the Jean Golding Institute
The Advanced Computing Research Centre (self-directed learning)
The Advanced Computing Research Centre (ACRC) provide a range of self-directed learning and video resources in High Performance Computing (HPC), software engineering, and programming.
Qualitative Data Analysis
Introduction to Qualitative Data Analysis (workshop)
This full day course provides an overview of the principles and practices of working with qualitative data (including text, graphics, audio and video). Attendees will examine qualitative methodologies, data collection strategies and analytic methods, and will explore the importance of developing clear objectives and research questions.
The course runs twice a year and is best for researchers at the early stages of their research degree.
Find out more and book your space via the PGR events calendar
Introduction to NVivo (self-directed learning)
NVivo is a qualitative data analysis computer software package. You can download NVivo for free via the University of Bristol Sharepoint site. (Remember to log in using your UoB credentials when prompted).
The resources in this drop-down menu have been produced by PhD researchers from across the GW4 institutions to help you get started using NVivo for qualitative research.
Listen to a short audio introduction to NVivo
or Read a short introduction to NVivo (word)
View a presentation of things to know before getting started with NVivo
Coding with NVivo (self-directed learning)
Coding with interview and focus group data
Coding is the process of labeling and tagging qualitative data to identify key themes and patterns. These resources will help you decide which method of coding best suits your research, and how to begin coding using NVivo.
View a an introduction to different types of coding (PowerPoint)
Watch a quick start guide to coding in NVivo (YouTube)
Or Read a quick start guide to coding in NVivo (Word)
Access a simple, three-step visual guide to coding in NVivo (Word)
Autocoding (Automatic Coding)
Autocoding is a tool that helps researcher automatically create new codes from qualitative data. You can use NVivo to search for all data, or search data from a particular person.
Watch video guidance about auto-coding (YouTube)
Or Read guidance about auto-coding (Word)
Thematic Analysis
Thematic analysis involves identifying, analysing and reporting patterns or themes within a dataset.
Listen to a podcast for discussion and advice about conducting thematic analysis
Using other NVivo Features (self-directed learning)
The following resources - created by researchers at the GW4 universities - provide a summary of some useful NVivo features.
Classification tables
Classification tables help identify the different characteristics of your data, allowing you to more easily compare (for example) different participants, and sort them according to (for example) similarities and differences.
Access a video guide detailing how to create a classification table
Or read instructions detailing how to create a classification table
Framework Matrices
A framework matrix is a way of summarising and analysing qualitative data in a table of rows and columns. It is a useful tool for visualising different participant responses (for example), and enables cross-case analysis. You can also use a framework matrix to create a data extraction table.
Access a video guide to creating a Framework Matrix
Or read instructions about how to create a Framework Matrix
Matrix Queries
A matrix query is a technique for analysing the relationships and patterns between your data.
Resources coming soon!
Memos
Memos are the NVivo equivalent of notebooks and post-it notes.
Resources coming soon!
Managing a Literature Review in NVivo (self-directed learning)
Coming soon!
Tips for Working and Collaborating in NVivo (self-directed learning)
Coming soon!