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OSC Librarian Training 2018-2019

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Courses per page: 10 | 25 | 50 | 100


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.