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Data Management Plan

A data management plan is a document that describes how to handle research data from start to finish. As an UiO employee, you should create a data management plan for your research data (cf. Guidelines). Funders such as The Research Council of Norway and the European Union require that a data management plan be submitted within 6 months from receipt of support.

A data management plan is a living document which can be revised and updated as research progresses.

UiO's Template and Technical template's:

UiO does not require a data management plan to use a specific template. A data management plan should first and foremost be a tool for each project and project participant and must have a content and form that is useful as a tool in each case. There are technical templates to use. In each case, consider whether such a template is useful for the project or whether you just want to use such a template to check out what is relevant to include in a plan you set up yourself.

 Examples of Data Management Plan:

The Digital Curation Center(DCC) has created a website with various suggestions for creating a DMP

What is a data management plan?

A data management plan:

  • is a document that describes how the data is to be managed both during the research project and after it has been completed                                                                   
  • makes it possible to identify at an early stage significant problems to be resolved (such as obtaining consent or taking consideration to copyright)
  • identify ahead of time any additional costs or resources needed to manage the data (such as additional storage capacity, etc.)
  • helps to plan the need for data management ahead of time and to monitor data activities throughout the lifetime of the project.

What should a data management plan include?

The contents of a data management plan will vary between fields of study. Usually one will be asked to describe the following:

  • who will be responsible for managing the data during and after the project, and what resources are needed
  • how to ensure that the data is well-organized and sufficiently documented (metadata)
  • the volume and type of data set to be generated/used.
  • how to ensure that the data is compatible with ethical and legal requirements
  • where the data is to be stored and backed up during the lifetime of the project   
  • how to save and make the data accessible to others in the long term

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CC-BY Margaret Louise Fotland, UiO

Funding Agencies’ Requirements:



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Published Sep. 25, 2018 1:08 PM - Last modified June 16, 2022 1:25 PM