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7 matching courses
Courses per page: 10 | 25 | 50 | 100


Seeing your name on the spine of a book is a great achievement, which can help to kick start your career in some disciplines. How do you get there?

This session answers some of the key questions along the way, including including:

  • Should you turn your thesis into a monograph?
  • How do you choose a publisher?
  • How do you get your proposal accepted?
  • What are the key stages in the publication process?

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.

Journal article versions new Self-taught Bookable

Where and how can you share your articles? Each article goes through different versions, from submitted manuscript, through accepted manuscript, proof, and finally version of record. Often the text is very similar, but subtle differences mean that one version can be legally shared and another cannot. In this course, you will learn how to identify article versions and apply the correct terminology.

Publishing journal articles is a key element of a successful research career. As you are starting on this journey, you may have a lot of questions, for example:

  • Where and how should I publish my research?
  • How do I maximise the number of readers and citations?
  • How should I respond to reviewers?

Prevent research disasters through good data management

  • How much information would you lose if your laptop was stolen?
  • Have you ever emailed your colleague a file named 'final_final_versionEDITED'?
  • Do you know what your funder expects you to do with your research information?

As a researcher, you will encounter research data in many forms, ranging from literature sources, interviews, measurements, numbers and images.

Whether you create, receive or collect this information, you will need to organise it.

Managing digital information properly is a complex issue. Doing it correctly from the start could save you a lot of time and hassle when preparing a publication or writing up your thesis.

Have you ever wondered who can access your research? Most articles and research outputs are locked up behind paywalls inside an ivory tower. Find out how to make your practice more open to reach a broader audience, spark collaborations and, most importantly, improve the quality of your research.