Research data management (RDM) means description, organization, storage, preservation, and sharing of data collected and used in a research project. This guide is intended to give an overview of the practices and process of managing your research data.
Effective and responsible RDM is an integral part and essential requirement of good scientific practices and research skills. Hanken students and researchers are responsible for complying with Hanken's ethical guidelines and good data management practices in accordance with relevant legislations and research integrity. Departments and principal investigators ought to familiarize students and research staff with good data management practices. See Instructions for supervisors.
Follow the flowcharts or stages outlined in Data management processes at Hanken. The instructions and templates in each stage offer students and researchers, respectively, guidance that you can trace and complete the whole data management process.
Research data can be any material a research project uses and produces as the basis for research findings from the starting (hypothesis, research questions) to the concluding (research outputs) point of the research, in either physical or digital form.
Digital datasets generated, processed, and used in scientific research can be:
Benefits of managing research data include:
Help and support for research data management is a network of staff from Hanken's Library, Research services, Data protection officer (DPO), legal support, and IT services.
If you have questions about ethical and legal matters concerning data security, data protection and IPR issues, writing and updating your Data management plan (DMP), data storage, backup, and transferral, metadata creation, data archival and preservation, please contact email@example.com.
We also provide trainings to support you to complete various RDM tasks throughout your research lifecycle. Trainings are offered both as part of studies and as staff training. More information, see Courses and workshops.