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Self-taught course

Provided by: Office of Scholarly Communication


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This course is self taught (Online course).

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How FAIR is your research data?: an online course (for researchers and postgraduate students in all disciplines)
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Self-taught course

Description

FAIR data are those that are Findable, Accessible, Interoperable and Reusable. Sounds simple enough, but what do each of these terms mean in a practical sense and how can you tell if your own research data is FAIR?

The Research Data Team at the Office of Scholarly Communication join forces with FOSTER Open Science to offer this practical course to help you get to grips with the key principles and consider how you can start to make your own data FAIRer.

Course commences Monday 4 March: book your place by Thursday 28 February.

This three-week, self-paced course will:

  • introduce you to the key terms and explain what they mean in a practical sense
  • demonstrate how data management planning can help to make data FAIR from the very start of research projects
  • show you how you can use freely available tools to help assess the FAIRness of data
  • provide you with the chance to FAIRify your own data, or a sample dataset from the Apollo repository, and get feedback from your peers on its potential reusabilty.

The course consists of an online module followed by two short exercises (see below for details). During this time, participants will need to allocate between 2-4 hours to complete all of the course tasks. Upon successful completion of the course, participants will be awarded with a 'FAIR Data Assessor' badge.

You are then invited to attend a workshop on Monday 25 March with FOSTER and the Research Data Team from the Office of Scholarly Communication to discuss your experiences in assessing the FAIRness of your data, including any problems you encountered. You are welcome to bring examples of your data to this session to further develop your skills, or try your hand at FAIRifying more example datasets from Apollo. Find further details here about How FAIR is your research data?: a workshop (for researchers and postgraduate students in all disciplines).

The course is open to researchers and postgraduate students in all disciplines - arts, humanities and social sciences as well as sciences, technology, engineering, mathematics and medicine.

Target audience

This course is tailored for:

  • Researchers
  • PIs
  • Postgraduate students

We are running a parallel course designed specifically for anyone involved in research support, including librarians and administrative staff.

  • Further details regarding eligibility criteria are available
Format

The course consists of an online module followed by two short exercises. During this time, participants will need to allocate between 2-4 hours to complete all of the course tasks. Upon successful completion of the course, participants will be awarded with a 'FAIR Data Assessor' badge.

  • WEEK ONE, 4-8 March: Participants should work through the online course Assessing the FAIRness of Data course which will be accessible from the FOSTER portal. The course should take between 30-45 minutes to work through.
  • WEEK TWO, 11-15 March: During the second week of the course, participants will work independently to assess the FAIRness of an example of their own data, or of a dataset from the Apollo repository (we will send you a selection of examples in all disciplines) using one of the FAIR self-assessment tools we introduced in the online course. You'll then consider how you might go about making your data FAIRer and prepare a very short summary of actions you might take (1 paragraph or bullet points).
  • WEEK THREE, 18-22 March: This week, you'll have the opportunity to try out your FAIR data assessment skills by reviewing one of the summaries prepared by a fellow participant. From the perspective of a data reuser, you'll consider whether the planned actions will lead to the data becoming FAIRer. Each participant will then prepare a second short summary outlining your views (1 paragraph or bullet points).
  • WORKSHOP, 25 March: Following the completion of the online course, you are invited to attend a workshop with the Research Data Team from the Office of Scholarly Communication to discuss your experiences in assessing the FAIRness of your data, including any problems you encountered. You are welcome to bring examples of your data to this session to further develop your skills, or try your hand at FAIRifying more example datasets from Apollo. Find further details here about How FAIR is your research data?: a workshop (for researchers and postgraduate students in all disciplines).
System requirements

Participants will need access to an internet-enabled device.

Mailing Lists

When you attend an event run by the OSC, we add you to our mailing list to keep you up-to-date on the latest developments and opportunities in the field of open research. We send one Open Research Newsletter per month. You are welcome to unsubscribe from this list at any point if you feel the information is not relevant to you.

Duration

TOTAL DURATION: two-four hours over three weeks.

Themes

Booking / availability