Research Data Service

Online and scheduled training

A range of training programmes on research data and research data management (RDM) in the form of online courses, and classroom-based workshops and seminars to help you with managing your research data effectively and efficiently.

Online training

Research Data Management and Sharing - MOOC

This free five-week Coursera MOOC - created by the Universities of Edinburgh and North Carolina - is designed to reach learners across disciplines and continents.

Subjects covered in the 5-week course follow the stages of any research project. They are:

  • Understanding Research Data
  • Data Management Planning
  • Working with Data
  • Sharing Data
  • Archiving Data

The MOOC (The Massive Open Online Course) uses the Coursera on-demand format to provide short, video-based lessons and assessments across a five-week period, but learners can proceed at their own pace. Although no formal credit is assigned for the MOOC, Statements of Accomplishment will be available to any learner who completes a course for a small fee.

Research Data MANTRA

MANTRA is a free, non-credit, self-paced course designed for postgraduate students and early career researchers which provides guidelines for good practice in research data management.

Find out how well you manage your data. Learn how to create a data management plan, securely store and share your data. MANTRA also includes practical exercises on using SPSS, NVivo, R, or ArcGIS for data handling.

Workshops and courses

All the courses listed below are available for booking via MyEd. You may also find relevant training opportunities via the Digital Skills and Training Resource Finder.

Creating a data management plan

This is a short course open to all research staff (including postgraduate researchers) who are interested in finding out about data management plans and creating a data management plan for their grant application or project.

Topics Covered:

  • Research Data Management
  • Funder & University Expectations
  • Writing a Data Management Plan
  • Support for Data Management Planning and Research Data Management

During this course you will have the opportunity to begin drafting a Data Management Plan for your research. You will do this either using the worksheets provided by the tutor, or, by signing-up for DMPonline ( before the course and working through the relevant funder’s template. If you wish to use DMPonline then you will need to bring a laptop or other suitable device.

This course is open to all staff and PGR students.

If you have five (minimum) to eight (maximum) people who want to learn more about creating a data management plan for a particular funder (see below) we can run a session especially for you.

Managing your research data: why is it important and what should you do?

This workshop is aimed at all research staff and post graduate research students. It will shed light on the following questions:

  • What is research data management? Why is it important?
  • What are the funder and University requirements from researchers?
  • What is a data management plan? Why is it important to have one?
  • What is DMPonline?
  • Where could you store your sensitive data securely?
  • How could you make your data available openly? What are the options?
  • What are the services and tools available to you at the University to help manage your research data effectively and efficiently?

This course is open to all staff and PGR students.

Working with personal & sensitive research data

Researchers today are pressured to share their research data and make it accessible to other researchers. But what if you have collected sensitive or confidential data?

For many researchers, the sensitivity of research data is one of the main barriers to data sharing. Fear of violating ethical or legal obligations, lack of knowledge about disclosure control and the time required to anonymise data to a suitable standard often prevent valuable datasets from seeing the light of day

In this two-hour awareness raising course, we introduce how to collect, share, store, and protect the sensitive data you may encounter as part of your work.

This course is open to all staff and PGR students.

Good practice in research data management

This course is aimed at all postgraduate researchers who are interested in finding out how to manage their research data effectively and efficiently during their research projects.

The course explores key data management topics (including day-to-day data management, back-up and security, metadata and documentation, data sharing and preservation, and data management planning) based on the MANTRA course. It includes presented content, group discussions and exercises, and is delivered by means of a participative seminar where you will be encouraged to contribute and ask questions.

This course is open to all PGT and PGR students.

Handling data using SPSS

The aim of this half-day course is to show you how the facilities provided by SPSS can help with the management of your research data and to suggest some ways of keeping a record of your data work and getting your data out of SPSS, whether for long-term preservation or for further analysis in other software. The course is open to all postgraduate research students who are interested to learn how to use SPSS to handle their data.

This course is open to all students and staff.

Data cleaning with OpenRefine

OpenRefine (formerly Google Refine) is a powerful tool for working with messy data: cleaning it; organizing it and transforming it from one format into another.  It is extremely useful for anyone who works regularly with any kind of tabular data.

At its most simple, OpenRefine helps you explore your data, identify and easily correct errors and globally reformat columns. For the more advanced users it can be used to extend your data and link it with web services and external data. Most importantly OpenRefine edits are reproducible and you can create a record of your data cleaning steps so you can automatically run them again on a new dataset.

This introductory course is aimed at complete beginners and will get you familiar with basic concepts of OpenRefine:

  • Get an overview of a data set
  • Resolve inconsistencies in a data set
  • Help you split data up into more granular parts
  • Save a set of data cleaning steps to replay on multiple files

This course is open to all students and staff.

Using EDINA Digimap

The morning EDINA Digimap online mapping course involves using Digimap Roam to create a map, annotate, customise and print a map. Digimap Download is also used to access the spatial data that underpins the Ordnance survey mapping products delivered by the Digimap service (as preparation for an afternoon course 'Introduction to visualising data in ArcGIS/QGIS').

Prerequisites: Users must be registered Digimap users. See

This course is open to PGT, PGR students and all staff.


If you would like to have a tailored training session on any aspect of RDM within your discipline, school, institute or research group, please contact Kerry Miller.