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FAIR data: An introduction to research data management for staff (Staff)

Tue 20 February 2024: 17:00-18:00 BST (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 will 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 (Findable, Accessible, Interoperable & Reusable). 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
  • Please book ASAP via MS Forms. It will be offered twice in semester 1, 2024.

Related LibGuide: Research Data Management by Michael O'Connor

Tuesday, February 20, 2024
17:00 - 18:00
  Academic and research staff     AFBI staff     HSC staff  
  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