No more lost files, confusion over versions, or data headaches later. A clear DMP keeps your project organized from start to finish, letting you focus on what really matters. Your science.
Explicit guidelines on data handling, formats, and responsibilities mean fewer misunderstandings, more productive collaboration, and easier management of complex research teams.
Well-managed data is easier for others to find, reuse, and cite. A strong DMP ensures your research reaches more people, increases citations, and aligns with funder and journal expectations.
FAIR stands for Findable, Accessible, Interoperable, and Reusable. It means your data is easy to find, clearly accessible under known conditions, works seamlessly with other datasets, and is well-documented for others to reuse. In short, FAIR makes your data genuinely useful. Today and tomorrow.
Learn more about Research Data Management and funder guidelines best practices:
Now that you know why you're creating a Data Management Plan, here’s how to do it with FAIR Wizard. It only takes three simple steps: invite your colleagues, answer the questions, and generate the document.
The first project is created automatically for you, but you can always add more projects later. Simply invite your colleagues to collaborate via email and start answering the questions.
Go through the questions at your own pace. There’s no need to complete everything at once. Pay close attention to the question text, metrics, and tips, as they can guide you in following best practices for DMP and research in general.
You can track the progress of your DMP in the Preview tab. If you want to create a persistent document, go to the Documents tab. From there, you can export the document for further use.
Ready for effective, machine-actionable research data management at an organizational scale? Make FAIR Wizard your first step towards robust, planned Research Data Management.
Plan-driven data management for everyone
Horizon Europe DMP