Introduction to Data Management Plan (DMP)
A DMP is a formal document that outlines how data are to be handled both during a research project and after the project is completed.
It is the essential reference to assure the Findability, Accessibility, Interoperability, and Reuse (FAIR) of digital assets, establishing the format of data and metadata, how they are generated, stored, and accessed, among other issues. Currently, DMPs are mandatory for data-science and e-science funded grants and indispensable for the sustainability of any long-term project.
DMPs are living documents that will be amended, improved and detailed along the project timeline. Therefore, DMPs should have a clear version number and include a timetable for updates. The DMPs should have been defined according to the template of the DMP Online tool, but they could derive into structured documents, as long as maintain their unity.
Bringing synergy to better data management and research in Europe
In this course you will learn about:
- FAIR principles and DMP
Please share your thoughts about the importance of adopting the FAIR principles in your research and having a proper Data Management Plan for your project. What do you think about FAIR principles? Should they be adopted by the scientific community? In LAGO, we have two types of data: measured and simulated data. Do you have in your project also different types data? Are you considering building your own DMP? Is the DMP immutable? How can a DMP help you with your research?