GFBio aims to support supports individual researchers, research groupsand groups, and projects in developing and implementing effective data management strategies for FAIR data (Findable, Accessible, Interoperable, and Reusable) data, as part of good scientific practice (learn more about the FAIR principles and applicability here).
A well-structured Data Management Plan (DMP) clarifies how and what data will be created, processed, and documented. Its name means
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DMPs are increasingly required as a mandatory proposal part by research institutions and funding agencies. By writing a DMP, you save a lot of time in the long run, you are aware of potential data management challenges and obstacles, and you increase the transparency and the integrity of your work.
In this How-to, you learn about preparing a DMP with the GFBio Data Management Plan Tool (DMPT) and about the services DMP Support Service GFBio offers to support youhelp you create a state-of-the-art DMP.
Step by step towards your DMP creation
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You have just heard about DMPs and now want to write your own? If you have never considered data management planning before, it might be good to get some general information.
Data management planning is the starting point in the data life cycle (DLC). Data management plans (DMPs) are ideally established at this point. But a DMP is not only created at the beginning of a project, but it is also a living document, and you should return to it at each step of the data life cycle. Ideally, the DMP should be revisited often throughout the lifetime of a project to ensure proper data documentation and management. You can think of a DMP as an addition to the data policy of a larger umbrella project.
Have a look at our training materials, in which you can find fact sheets on data management planning and other aspects of the data life cycle. Also, have a look at the best practices linked in our training materials.
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