Are you a researcher or HDR candidate looking for time-efficient methods to explore, clean and prepare data? 

The Library is here to help!   

Missing, messy or inconsistent data can easily undermine your analysis, but by learning a few simple processes, you can cut down the time and effort you spend cleaning data and get to the exciting part—figuring out what your data is telling you. 

Our upcoming workshops will provide you with the data wrangling skills you need to standardise that messy data: 

Introduction to Data Wrangling using OpenRefine 

Tuesday 2 February 2021, 10 am to 12.30 pm 

Register now 


The pace was great, small group sizes helped (even online).  Keep up the good work.”  

2020 workshop participant 



OpenRefine is a free, open-source tool to explore, clean, organise, combine and transform data. It’s particularly powerful when working with large datasets that tools like Excel cant manage. Plus, it helps you see your data. You don’t need to know how to code and no prior software knowledge is required.   

The online, hands-on introductory workshop includes basic data cleaning techniques such as: 

  • Exploring columns of data through facets and filters 
  • Implementing ‘tidy data’ principles 
  • Cleaning, organising and preparing data for analysis 
  • Creating reusable scripts to perform the same tasks on similar data. 


It was run really well, the instructions were clear and even though my OpenRefine crashed halfway through I was still able to pick it up again because of the chat instructions.”  

2020 workshop participant 


Once you‘ve learned the basics, our advanced workshop will help you combine, geolocate and perform what if exploration of data in tables: 

Advanced Data Wrangling using OpenRefine 

Monday 8 February 2021, 10 am to 12.30 pm 

Register now 


It is pretty much perfect, I am looking forward to the advanced session.”  

2020 workshop participant 


Registrations close the day before each workshop—to register after that time please email the Researcher Education and Development (RED) team for assistance. 

For more on how we can help, check out the Library’s support for working with data or contact us about your research data needs.   


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