Research data management (RDM) means organization, description, 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.
RDM is an integral part of good research practices. Hanken students and researchers are responsible for complying with good data management practices that include Hanken's ethical research guidelines on the management and sharing of research data, data security and data protection in accordance with legislation 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 stages and checklist outlined in Data management process at Hanken. These concrete stages with descriptions, as well as must-dos, in each stage offer students and researchers, respectively, comprehensive and thorough guides that you can trace the whole data management process easily, clearly, and closely.
E-forms and templates you (may) need can be found:
In principle, 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.
In RDM, research data are generally understood as digital datasets generated, processed, and used in scientific research, and can include
Benefits of managing research data include:
Help and support for research data management is a network of staff from Hanken's research services, legal support, Data Protection Officer, IT Services, and the library. Questions about data management, ethical and legal matters concerning data security, data protection and IPR issues, assistance with data management plans, data storage, and data sharing and preservation, please contact Hanken's Data Protection Officer email@example.com or firstname.lastname@example.org.
We also provide training in creating data management plans and in data management and data protection throughout your research lifecycle. Training is offered both as part of studies and as staff training. More information, see Courses and workshops.