Research Data - guidelines and policies

NMBU is compliant with the FAIR-principles (Findable, Accessable, Interoperable and Resuable) and the principle that

"Research data must be as open as possible, as closed as necessary"

Research Data is classified into four categories

Green, yellow, red and black. Read more about research data classification (Webpage in Norwegian).

NMBU Guidelines for Research Data Management 

The guidelines were approved by rector 10 Apr 2018 and applies to all students and employees at NMBU.

  1. Research data are all registrations/records/reports of numbers, texts, pictures and sounds generated or created during research projects.
  2. The data must be stored at the NMBU server W: or in approved servers nationally or internationally.
  3. Research data from closed projects must be archived in approved archives.
  4. Research data are NOT only to be stored on a hard drive on a personal compluter (C-drive), on external hard drives, dropbox etc. A copy of data the data may be downloaded to the computer for processing and analyses.
  5. Storage, archiving and and sharing research data must be according to good scientific practice, current regulations, ethical guidelines and requirements from funding sources.
  6. Research data must be archived so that they are of value for the researcher and a wider research environment, and must be stored for a minimum of 10 years.
  7. All research data must have a Data Management Plan (DMP). A DMP is a document describing how research data will be managed (storage, archiving and sharing) both in ongoing projects and after completion. 
  8. Research data must be compliant to the FAIR-principles. The data must therefore contain metadata. The purpose of metadata is to define or describe other data. The metadata will enable others to find the data by searching key words or make use of the data.
  9. Research data must be made available where possible (open data). However, there are several challenges with making simple data set open and available. A reason to limit open access could be:
  • Safety measures: Where availability of data may harm individuals or national security, the data sets are not to be made open access.
  • Personal data: Where availability of data is in conflict with the current privacy regulations, the data sets are not to be made open access.
  • Other legal matters: Where availability of data is in conflict with other legal provisions, the data sets are not to be made open access.
  • Commercial provisions: Data with commercial value generated in projects with a company may be exempt from the general principle of open access. The recommendations are then that the data will be made available after a certain period of time, e.g. 3 to 5 years.
  • Other conditions. Where availability of the data has great economic or practical consequences for those who generated/ collected the data, the data sets may be exempt from the general principle of open access if the arguments satisfy the conditions. This may apply to for example qualitative research data.
Published 26. April 2018 - 10:29 - Updated 28. October 2020 - 8:36