FAQ research data

MIUN has access to GitLab, ask INFRA and they can help you.

FAIR means that research data should be Findable, Accessible, Interoperable and Reusable. Establishing a data management plan is the first step in the process of managing research data in accordance with FAIR principles.

Depending on what your data contains, MIUN recommends the following:

• Vault (sensitive information that can be shared internally and externally)
• SharePoint and OneDrive (non-sensitive information that can be shared)
• Directory on the server (sensitive and non-sensitive information that can be shared internally)

That’s the lead researcher. Who this is you decide, it can be you who write the plan, a supervisor or doctoral student.

We recommend that you use the DMPonline tool to write your plan. There you will find ready-made templates to fill in. You can update your plan during the project and have it reviewed by the DAU.

Log in to DORIS via this link. A directory entry in DORIS will provide you a DOI. If you have written a data management plan, start from what is in it to fill in the fields in DORIS. Once you have finished writing, your directory entry will be reviewed by librarians and staff from SND.

Metadata is structured and descriptive information about data.

Metadata are available of various types:

• Descriptive — for example, title, author
• Administrative — e.g., file format, rights, license
• Structural — for example, persistent identifiers such as DOI

For research data to be found and used by others, it is important that you write down enough metadata. An outside researcher without prior knowledge of your project should be able to gain an understanding of your material through metadata and determine whether this is data that may be interesting to use in a project. It is good to start with this already at the beginning of a research project as it can be difficult to recover metadata to large amounts of data at a later stage.

It can be a great advantage to use a metadata standard. A metadata standard is a set of rules that determine how metadata should be described and categorised. Different research disciplines may have different metadata standards.

In social sciences, the metadata standard DDI is often used, which is also recommended by SND and is used in their input forms. Here you can find several different metadata standards based on subject discipline.