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. Arcada students and researchers are responsible for complying with good data management practices that include Arcada'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 supervisors ought to familiarize students and research staff with good data management practices. Follow the stages and checklist outlined in Data management process at Arcada. These instructions and step-by-step guides offer students and researchers support through the whole data management process.
In principle, research data can be any material (either physical or digital) a research project uses and produces as the basis for research findings from the beginning (hypothesis, research questions) to the concluding point (research outputs) of the research.
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: