Join Ishwar Kapoor as he takes us on a tour of his experiences teaching good research data management practices to PhD students, the lessons he's learned, and the strategies he's employed.
Full Abstract
Good Research Data Management (RDM) practices make it easier for researchers to conduct their
research and ensure their data is preserved and stored securely for the long-term. Archiving is one
of the last stages of Research Data Lifecycle and deals with depositing and preserving datasets at the
end of a project in a suitable storage location (repositories, local server, or hard drive).
Students may not find data management topic as interesting as their core course topics. This can
result in lack of students’ knowledge of the importance and benefits of good data management
practices for their studies. At Warwick, I design and deliver Research Data Management & Planning
(RDM&P) case study sessions to PhD students. Students learn different elements of RDM and
importance of RDM for long-term preservation. Students work in groups to develop and present
Data Management Plan (DMP) and put RDM&P learning into practice.
In this presentation, I will briefly introduce the above case study, feedbacks received from students
across different disciplines and further steps.
- Tags
-