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Please join us on Tuesday 3rd December (3–5 pm) for a social event to celebrate the end of the Data Champion year!

This is an informal occasion to mark the end of 2019. There is no specific theme for the event; instead, we will explore a range of open topics via short talks and questions amidst general networking. Topics for talks and questions may be related, in the broadest sense, to Research Data Management and Open Research but do not need to cover these areas exclusively (lateral thoughts are welcomed!). In addition, Data Champions are encouraged to contribute their thoughts on the future structure of the programme and the content of forums in 2020 - all ideas will be gratefully received.

Event location: Todd Hamied Room, Department of Chemistry, Lensfield Road, CB2 1EW (https://map.cam.ac.uk/Department+of+Chemistry#52.198063,0.125855,17)

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.

We want to hear YOUR views on research. Who owns your work? Who should access it? How does your research compare to other disciplines?

Come along for a free lunch and to discuss how the University can support you in practicing Open Research. Learn about the requirements placed on researchers and the tools you could use to boost your impact. Find out what your peers think and contribute to shaping a University-wide strategy for Open Research training.

You've published your research...now what should you do with it? It seems we are expected to share more and more online, which can be both daunting and exciting. In this session we will look carefully at the benefits and barriers to sharing research, giving you an opportunity to consider a strategy that will work for you.

This session explores the whys and hows of sharing research - the options, the benefits and the logistics:

  • Your aims and motivations for disseminating research
  • Opportunities for sharing offered by social media and traditional media
  • Pitfalls when creating an online presence
  • Ways to find out who has been sharing, using and citing your published research