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
Funding Agencies’ Requirements:
With more questions contact: firstname.lastname@example.org