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.
A RDM principle is that research data are as closed as necessary and as open as possible.
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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 questions on ethical and legal matters concerning data security, data protection, and IPR issues, Data management plan (DMP), data storage, backup, and transfers, metadata creation, data archival and preservation.
Trainings are offered as part of studies and staff training. More information, see Courses and workshops.