skip to navigation skip to content

Reset

Filter by

Course type

Show only:



Dates available




Places available




Theme




Filter search

Browse or search for courses


5 matching courses
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.

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.

Solving the problem of Open Access or causing more trouble?

Open Access can be hard to understand at the best of times but one term that causes particular confusion is ‘mirror journals’. Promoted as one way of solving the problem of a lack of publisher interest in Open Access, these titles are appearing in every discipline but what are they?

Join the OSC for this information webinar to find out all about mirror journals, their history, the problems they can solve and those that they can potentially cause!

Open Access Update 2019 (for librarians) new Wed 17 Jul 2019   12:00 [Places]

What’s new in Open Access for 2019?

Open Access is a fast moving area but it can be hard to find time to keep up with the latest developments. This session offers a brief update on the biggest changes both within Cambridge and the wider world in the last year.

This course covers the practical steps you need to take in order to ensure that work submitted for publication by University of Cambridge researchers is compliant for REF2021.

We will introduce the principles of open access and open research, and guide you through the necessary steps to meet the open access requirements of REF2021. We will demonstrate key processes for uploading work to Symplectic, including choosing the right version of a work to upload. There will be plenty of time in the session to ask questions, and for you to try out uploading papers.

This course will be useful to you if you:

  • administer the uploading of research outputs to Symplectic Elements to make them open access
  • manage Symplectic profiles

4 other events...

Date Availability
Thu 11 Jul 2019 10:00 [Full]
Wed 11 Sep 2019 10:00 [Places]
Mon 7 Oct 2019 14:00 [Places]
Fri 8 Nov 2019 14:00 [Places]