In this course students will learn about different methods of research data management.
Students are introduced to the topics of:

• research data,
• digital research objects,
• data management plans,
• data management services,
• the FAIR criteria (Findable, Accessible, Interoperable and Reusable) for digital research object and how to fulfill them,
• Open Science.

They will learn about the importance of data management when working together as groups, as well as when working alone, and how to plan their data management for different research scenarios.
After the course, the students will be able to handle different types of digital research objects in a reproducible and FAIR way. They will know about different digital research objects such as electronic lab notes, csv, research software etc.

Goals of the course:
Students will be able to identify data in its different forms. They will be able to identify different types of digital research objects that will be collected in a research project and analyze the project to come up with a fitting data management plan.
They will be able to identify the data lifecycle and plan accordingly to ensure that data is preserved when needed.
Furthermore, students will be familiarized with the term research data management, research data services and different tools to aid in research data management.
Students learn about the FAIR criteria and how to create digital research objects which fulfill these criteria.