Research Data Management: RDM & Open Research Training

Share your research data and graduate: A workshop using Pure (PGR)

Tue 17 October 2023: 11:00AM-12:30PM UTC (ONLINE)

• This course is intended for final year PGR students and those about to submit their electronic thesis for graduation

• This course is for those who wish to find out more if they have data connected to their thesis and why and how can they share this data with others using Pure

• Pure is the system that is used to upload and make visible online your research articles, note any prizes you have won, record any prestigious activities and upload your datasets and electronic thesis

• Every PGR student has a profile in Pure. This expires when you complete your studies

This course is aimed primarily at final year PGR students.  

If you are in the final year of your PhD or PGR study, it is strongly advised that you attend this class as soon as possible. 

This course is only offered ONCE in semester 1, 2023. 

Please login to MyFuture to book a place.

Library training details here.

Thu 19 October, 2023: 14:00-16:00 UTC (ONLINE)

• Training is designed for ALL PGRs and Post-Docs

• It will supply you with practical tips for how you can you protect your reputation, publications, thesis, copyright & data

• Very well-attended course. The course has a limited number of places. Please book early to avoid disappointment. 

• It will be replete with lots of practical guidance and real-world examples to enable you to protect your research from plagiarism and scooping

• If you want to make sure that your research is protected, you need to attend this class! Stay protected! 

• If you are a Postgraduate Research Student, please login to MyFuture to register for this event. 

• There are a number of places for post-docs. If any post-doctoral staff wish to attend, please register using MS Forms

Library training details here.

Tue 7 November 2023: 17:300-18:30 UTC (ONLINE)

This is a brand new course! 

• This training course is aimed at academic staff, including career researchers & Post-Docs
• This is for all those researchers who would like to develop their understanding of (i) which persistent identifiers they need to use for their research & (ii) how to go about setting up these identifiers 
• Identifiers like DOIs are important for published outputs, including research data. The inclusion of a DOI will often be a funder or publisher requirement. But how does one go about acquiring one? How can I get a DOI for my data?
• This class will provide information on the purpose of these identifiers and where to register for them
• The class will also supply information on personal identifiers for researchers (ORCiD iD) and why it is imperative that you have an ORCiD iD
• ORCiD is required for funding bids, submission of research to publishers and to help differentiate you from other researchers. This class will provide information and context about using ORCiD
• There is also the opportunity for a one-to-one follow-up immediately after the class online to answer bespoke queries. If you wish to avail of this booking, please note it in the booking form.
• If any staff wish to attend, please register using MS Forms.

This is a brand new course. Please book ASAP. It will be only offered once in semester 1, 2023.

Library training details here.

Wed 8 November 2023: 17:00-19:00 UTC (IN PERSON EVENT)

Auditorium, McClay Library

• Training is designed for ALL PGRs and Post-Docs

• It will supply you with practical tips for how you can you protect your reputation, publications, thesis, copyright & data

• Very well-attended course. The course has a limited number of places. Please book early to avoid disappointment. 

• It will be replete with lots of practical guidance and real-world examples to enable you to protect your research from plagiarism and scooping

• If you want to make sure that your research is protected, you need to attend this class! Stay protected! 

• If you are a Postgraduate Research Student, please login to MyFuture to register for this event. 

• There are a number of places for post-docs. If any post-doctoral staff wish to attend, please register using MS Forms

Library training details here.

Wed 15 November 2023: 11:00-13:00 UTC (ONLINE)

Do you want to get published? Do you understand how publishing works? How to get your research published? Are you confused about how you go about this? Open Access options? Where to begin with all of this?

• This training course is aimed at Postgraduate Research students, but also early career researchers and staff
• Post-docs very welcome to attend this event!
• It will include information on publishing your first article, where to publish, the peer-review process, Open Access options for publishing, copyright as it relates to your publication
• It will provide a relevant overview of the publication process and aims to make publishing your research less daunting
• If you are a Postgraduate Research Student, please login to MyFuture to register for this event.
• If any post-doctoral staff wish to attend, please register using MS Forms

This course always is booked out very early.

Places are limited so it is encouraged that you register early

This is a very popular course. Please book ASAP. It is only offered ONCE in semester 1, 2023.

Library training details here.

Wed 18 October 2023: 11:00AM-13:00 UTC (IN PERSON EVENT)

Auditorium, McClay Library

• This is a brand NEW course. It is intended for PGR students at any stage of their study
• It will explain the concept of research data, defining what is meant by data. Research data usually associated with quantitative data e.g. tables, charts, figures, stats, numbers, especially large sets of metrics/numbers. But research data can be qualitative too, such as reflective diaries, photos, text, interview transcripts, focus groups, digital data etc. 
• Did you know that when you share your research data you increase your citation, your visibility, and the impact of your research? It can also lead to collaboration opportunities and your research can find itself in new contexts
• Good things come from sharing your data. Note also that certain funders which insist that you must share your data

This is an essential course if you want to discover what your “research data” is from your thesis and how to share it. If you plan to share your data, what can be shared? What is the best repository to use to share this data? Should you embargo your data, redact it, impose access controls on your data? 
This course is aimed primarily at all PGR students.  This course is however, only offered ONCE in semester 1, 2023. 

Please book early to secure a place. LIMITED SEATING. Book via MyFuture. 

Library training details here.

Tue 24 October 2023: 17:15-18:00 UTC (ONLINE)

This is a brand new course! 

• This training course is aimed at academic staff, including career researchers & Post-Docs
• This is for all those researchers who would like to develop their understanding of research data
• This is bitesize course and which provide a brief synopsis of research data management and the support services we offer within the RDM team at Queen's
• This course will provide information on active data storage, data management plans (DMPs), sensitive data, datasets and the sharing of your data at the end of your project/publication of research
• It will provide information and resources that will support you regarding the management of your data throughout the research lifecycle
• This training is a must if you are new to research data management and wish to learn about this fast evolving area
• Why should you attend? Most funding bids will require a DMP. Funders will also require that you share your data and make it FAIR. Need to know where you want to save your active data? Do you have sensitive data? This course will provide you with the information to assist  with these questions
• There is also the opportunity for a one-to-one follow-up immediately after the class online to answer bespoke queries. If you wish to avail of this booking, please note it in the booking form
• If any staff wish to attend, please register using MS Forms

This is a brand new course. Please book ASAP. It will be offered twice in semester 1, 2023.

Library training details here.

Wed 8 November, 2023: 13:15-14:00 UTC (ONLINE)

This is a brand new course! 

• This training course is aimed at academic staff, including career researchers & Post-Docs
• This is for all those researchers who would like to develop their understanding of research data
• This is bitesize course and which provide a brief synopsis of research data management and the support services we offer within the RDM team at Queen's
• This course will provide information on active data storage, data management plans (DMPs), sensitive data, datasets and the sharing of your data at the end of your project/publication of research
• It will provide information and resources that will support you regarding the management of your data throughout the research lifecycle
• This training is a must if you are new to research data management and wish to learn about this fast evolving area
• Why should you attend? Most funding bids will require a DMP. Funders will also require that you share your data and make it FAIR. Need to know where you want to save your active data? Do you have sensitive data? This course will provide you with the information to assist  with these questions
• There is also the opportunity for a one-to-one follow-up immediately after the class online to answer bespoke queries. If you wish to avail of this booking, please note it in the booking form
• If any staff wish to attend, please register using MS Forms

This is a brand new course. Please book ASAP. It will be only offered once in semester 1, 2023.

Library training details here.

Thu 9 November 2023: 11:00-13:00 UTC (ONLINE)

Do you plan to have interviews as part of your research? Do you want to know some of the associated issues with performing this type of qualitative research from a Research Data Management perspective?

This is Open Research Training. It is an ONLINE course. It is designed for PGRs.

• Do you plan to have interviews or focus groups as part of your research?
• This course will cover all that you need to know about including research interviews in your research and how to share this content at the end of the project
• This course is ONLY for students engaged in qualitative research and who will be/have undertaken research interviews as part of their research

• If you are a Postgraduate Research Student, please login to MyFuture to register for this event. 

• There are a number of places for post-docs. If any post-doctoral staff wish to attend, please register using MS Forms

Book early as this is a very popular course.

It will be offered only once in Semester 1, 2023.

Library training details here.

Thu 30 November 2023: 14:00-15:30 UTC (ONLINE)

New course!!! Do you want to find datasets in relation to your research area? Do you where to find them? Will you generate data as a result of your research? Do you wish to share your data? Are you planning to get published? And do you need to know how to share your data? Sharing your data will increase citation, impact and may be a funder or publisher requirement. Do you know how to go about sharing your data? Where? Which repository do you plan to use? Where to begin with all of this?

• This training course is aimed at Postgraduate Research students, but also early career researchers and staff
• Post-docs very welcome to attend this event!
• This is for all those PGR and Post-Doc researchers who would like to develop their understanding of (i) how to be able to find research data & (ii) to be able to share their research data which they have generated.
• It will provide a relevant overview of data repositories and aims to make this area less daunting for you
• If you are a Postgraduate Research Student, please login to MyFuture to register for this event.
• If any post-doctoral staff wish to attend, please register using MS Forms.

This is a brand new course. Please book ASAP. It will be only offered once in semester 1, 2023.

Library training details here.