Data management plans and planning (DMP)
24 January 2024
10:00 AM – 12:00 PM
This course is held in the Czech language.
Annotation: In this lecture, we will follow up on the Introduction to FAIR Data lecture and specifically focus on the planning phase of working with data. We will explain in more detail why data work planning is essential. We will demonstrate the differences between a data management plan as a document and data management planning as a process that guides us through the entire research data lifecycle. We will demonstrate the essential elements of a suitable DMP through practical examples. We will explain the practical application of selected tools.
Benefit for participants, what they will learn:
- The importance of DMP for scientific projects.
- The importance of DMPs in grant agency requirements.
- Differences between a DMP as a process and a document.
- Essential elements of a suitable DMP.
- Practical application of specialised DMP tools.
Level: beginner, intermediate, advanced
Prerequisites: Interest in FAIR data issues.
Tutor: RNDr. Michal Růžička, Ph.D.
Michal Růžička is a specialist in FAIR data from CERIT-SC of the Institute of Computer Science MU for Masaryk University. He is also the leader of the Core Services Working Group for implementing the European Open Science Cloud (EOSC) in the Czech Republic. He focuses on comprehensive support for work with research data from planning to publication, including work with sensitive data, especially in the life sciences.