FAIR data bitesize: An introduction to research data management for staff (Staff)
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.
Related LibGuide: Research Data Management by Michael O'Connor
- Date:
- Tuesday, October 24, 2023
- Time:
- 17:15 - 18:00
- Audience:
- Academic and research staff AFBI staff HSC staff
- Categories:
- All Faculties & Schools Faculty of Arts, Humanities and Social Sciences Faculty of Engineering and Physical Sciences Faculty of Medicine, Health and Life Sciences Open Research Queen's Business School School of Arts, English and Languages School of Biological Sciences School of Chemistry & Chemical Engineering School of Electronics, Electrical Engineering & Computer Science School of History & Anthropology, Philosophy and Politics School of Law School of Mathematics & Physics School of Mechanical & Aerospace Engineering School of Medicine, Dentistry and Biomedical Sciences School of Natural and Built Environment School of Nursing & Midwifery School of Pharmacy School of Psychology School of Social Sciences, Education and Social Work