Research data management at UiT: An introduction
Research data are an essential part of most research projects. The data we collect or generate are of high value, to ourselves and to other researchers, and should therefore be well organized and archived. Ever more often scientific journals and funders require that research data are properly managed and made openly available, if possible. In their meeting on March 9 2017, the UiT University Board adopted Principles and guidelines for research data management at UiT. These apply to all employees, including PhD students. The purpose of the principles is to "clarify responsibility and provide guidance on how the institution and its employees shall manage, share and archive research data in line with the institution's administrative, financial, and ethical guidelines." Read more about the policy here.
In this course, we give an introduction to UiT's Principles and guidelines, and the support services developed to help the researcher meet the requirements. This includes an introduction to UiT's institutional archive UiT Open Research Data and the RDM (research data management) training package offered at the institution. We also place the work at UiT in a larger context and discuss the benefits of archiving and sharing research data – for the researchers themselves, for the research community, and for society in general.
During the course, there will be plenty of time for questions, comments, and discussion.
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