Research data management (RDM) refers to the handling of research data (collection, organisation, storage, and documentation) before, during, and after a research activity. Effective and responsible RDM is an integral part and essential requirement of good scientific practices and research skills.
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Follow Hanken's research data management flowcharts and stages to complete different RDM tasks. Note that there are two different data management processes with different instructions and templates for
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Departments and principal investigators ought to familiarize students and research staff with good data management practices. See Instructions for supervisors.

Contact dataethics@hanken.fi if you have any RDM-related question.
Trainings are offered as part of studies and staff training. More information, see Courses and workshops.