Research Data Service

Data training

A range of training programmes on research data and research data management (RDM) in the form of an online course (MANTRA), 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.

https://www.coursera.org/learn/data-management

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 through the Digital Skills and Training website . Please follow the link to book a place on these courses:

http://www.ed.ac.uk/information-services/help-consultancy/is-skills/classroom-courses/spreadsheets-data-analysis-and-management-tools

Creating a data management plan for your grant application

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 plan for their grant application or projects.

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. You will also have a chance to work on a simple data management plan for your own research project.

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.

Introduction to NVivo

This short course gives a grounding in the basics of using NVivo 10, and is intended for beginners or people with little prior experience. By the end of the course, you should have enough knowledge of the software to get started with your project. Sample data sources will be provided, but you can bring your own data to practice on.

The course covers:

  • Introduction to NVivo
  • Organising and importing data sources
  • Using nodes to code data sources
  • Working with nodes
  • Visualising your data and coding

The workbook for this course is available to download from our Documents Catalogue: Introduction to NVivo workbook

NVivo: Beyond the basics - Queries

This short course builds on the introduction course using NVivo 10, and is intended for people with a bit of experience of the software. This course moves beyond simple coding and allows you to test and build on your coding, and to interrogate your data according to attributes to allow you to make comparisons.  Sample data sources will be provided, but you can bring your own data to practice on. The course covers:

  • Coding queries
  • Compound queries
  • Matrix queries
  • Classifications
  • Attributes

The workbook for this course is available to download from our Documents Catalogue: NVivo Beyond the Basics workbook

Exploring the Scottish census

This course outlines the results from the 2011 Census in Scotland, and demonstrates a number of ways of accessing and using the published resources. The course will focus on the Scottish results published through the Census Data Explorer, and will use a number of case studies to illustrate how the data can be used to answer specific questions. The course will also give an introduction of other resources from UK Censuses including those which are available through the UK Data Service, and will give participants an opportunity to discuss their specific requirements.

This event is organised by the Data Library, with staff from the National Records of Scotland.

This event is open to all members of staff and all students.

Introduction to visualising data in ArcGIS

The course will show you how to create a map in ArcGIS. We will cover spatially referencing data and plotting it on a basemap; Making raw spatial information look like a map; Making a choropleth map; Creating a print quality map.

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

Introduction to visualising data in QGIS

The course will show you how to create a map in QGIS. We will cover spatially referencing data and plotting it on a basemap; Making raw spatial information look like a map; Making a choropleth map; Creating a print quality map.

This course is open to PGT, PGR students and all 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 http://digimap.edina.ac.uk/digimap/home

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

Contact

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 Cuna Ekmekcioglu.