Whichever phase of the project you are in, it is important to have a carefully prepared data management plan. The purpose of your data management plan is to ensure that the management of your research data is consistent and well thought-out throughout the project.
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The various parts of the data management plan
What parts a data management plan should contain varies, both in terms of the art of the project, and also in terms of what requirements the plan needs to fulfil, beside those relating to the project itself.
In the internal planning process, the document "Checklist for Data Management Plan" by the Swedish National Data Service can be of good use. The checklist covers various aspects of data management and data sharing, with a short description of why each aspect can be important to plan for.
External funding bodies can have their own templates for data management plans in which they raise aspects of research data management relevant to that specific funding body’s perspective. In the template for data management plans used for research projects funded through Horizon 2020, FAIR data had a prominent role.
It can also be the case that external funding bodies want project leaders to submit a data management plan without having a description of how the plan should be outlined. This is when the Umeå University template for data management plans can be useful.
The university template can be found among the integrated templates in the tool DMP online, together with some of the external funding bodies’ data management plan templates. In DMP online, you can store data management plans, update them continuously and share the plans with others – such as external funding bodies, for instance.
Information security, sensitive data and legal aspects of research data
For resources and information about information security, information classification, legal status of research data, personal data processing, GDPR and legal counselling, we recommend contacting the university legal officers, the archive and IT specialists.