Data management describes the handling, organisation, and structuring of research material during the research process. On these pages we have collected useful information about how to maintain, preserve and share research data.
Please note: the English version of these pages are under construction, and will be launched in a not-so-distant future.
There is good reason to start planning for how you will collect and manage data in the research project as early as possible. Here you can find information about storage, security, costs, and other factors that you want to consider at the start of a project.
Data should be organised in a way that makes it easy to find the right version of the right file at the right time. Here you can read about what to consider when you create a folder structure, name and version your files, and choose file formats.
To document research data is to describe the research activities, data structures, and decisions you make during the research process, which may be useful for later analysis and reuse of the data.
Work with data
Good data management enables project members to find the right version of the project data when they need it, without unnecessary work and or risk of data loss or errors.
Prepare and Share
What happens to the project’s research data when they have been collected, processed and analysed? Here we describe what you need to do in order to enable other researchers to reuse data from your project for new research. You can also read more about licenses, PID, the FAIR data principles, and what open access to data really means.
Data Management Plan
It is getting increasingly common to require data management plans for research projects. Here we describe what a data management plan, or DMP, is and what information it may contain. You can also read and download the SND DMP Checklist.