Research data management refers to the handling of research data both during and after a research activity. An effective data management supports the researchers to share their data in a FAIR way (findable, accessible, interoperable, and re-useable), which is a crucial precondition for open science.
The RDM module offers an introductory session on collection, organisation, storage, and documentation of research data, with a particular emphasis on experiences gained during the CMO Project.
In the first section, the participants will be introduced to:
- Research data life cycle
- Goals and benefits of research data management
- FAIR (findable, accessible, interoperable, and re-useable) principles
- Methods and tools for developing and implementing a research data management plan
The following hands-on section will enable the participants to try and use their theoretical information on specific case examples. Sample data from the CMO Project will be provided, though participants who already have their own research data that they would like to work on are welcome to do so.
Who Should Apply
The module is open to scholars from all academic levels interested in research data management, especially those working in the field of humanities.
Participants should bring their own computers with an up-to-date browser installed. Beyond basic use of computers, there is no prior knowledge or special software needed. Registration for the test research data management platform before the event is required. The necessary information for the technical preparation will be sent to the participants in due course.
What Participants Will Gain
- Basic knowledge of the core principles of and best practices in RDM
- Insight into the development and implementation of an RDM plan, regardless of the size of the research project
- Initial practical experience on organising research data according to certain metadata schemas