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Self-taught course

Provided by: Office of Scholarly Communication


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How FAIR is that research data?: an online course (for research support staff including librarians and administrators 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 your researchers tell if their 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 help your researchers make their 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 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 teams from FOSTER Open Science and the Office of Scholarly Communication to discuss your experiences in assessing the FAIRness of your chosen dataset, including any problems you encountered. We will also discuss guidelines on how to best support researchers in making their data FAIR. Find further details here about How FAIR is that research data?: a workshop (for research support staff including librarians and administrators in all disciplines).

The course is open to any staff involved in supporting researchers.

Target audience

This course is tailored for:

  • Librarians
  • Administrators
  • Research support staff

We are running a parallel course designed specifically for researchers and postgraduate students.

  • 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 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 this data FAIRer and prepare a very short summary of actions you might take (1 paragraph or bullet points).
  • WEEK TWO, 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).
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.

Theme
Supporting Researchers in the 21st Century

Booking / availability