Data management describes the handling, organization, and structuring of research material during the research process. On these pages we have collected useful information about how to maintain, preserve and make research data accessible.
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 organized 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, give names to and manage versions of 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 helps 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 research data when they have been collected, processed and analyzed? Here we describe what you need to do to make the data from your project reusable for new research. You can also learn more about licenses, PID, the FAIR data principles, and what open access to data really means.
Data management plan
It is getting increasingly common with requirements for 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.