Research data is at the core of all scientific research. It comes in various forms (text, image, sound, video), media (paper, analog, digital), formats (notebooks, cassettes, files, structured databases, etc.), and types (raw, processed, and derived data).
How can you ensure the readability of your data over time, from one project to another? How do you satisfy the requirement of funders to provide a data management plan? How should you share your data so that your peers can best understand your research? In short, how do you maximize the impact of your work?
By optimizing the management of your data with a perfect DMP and a clear view of botch technical and legal aspects of data mangement!