Writing a data management plan is part of good scientific practices, but it is also mandatory, for example, for projects funded by the Academy of Finland and projects that request a statement from the Ethics Committee.
The guidelines for evaluating the plans will help to fork out whether the plan is excellent, satisfactory or weak. The excellent plan describes clearly e.g.
- The research data used/collected/produced in the project.
- The specific measures required for the processing of material, such as data protection requirements.
- How research data is described and how the processing of data is documented.
- The necessary storage solutions and takes into account an adequate level of security.
- What to do with the research data after the project. To what extent to maintain the data for further use, to what extent to make the data openly available for reuse and to what extent to dispose.
- The resources allocated for data management and data management responsibilities.
The evaluation guide complements the Tampere higher education community’s data management guidance updated this spring.
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