Managing digital research data
Description
Scientific work processes generate extensive and heterogeneous digital data. How can this data be organised and managed? Where and how can it be securely stored, archived and published? Appropriate handling of data increases the efficiency and quality of research and is part of good scientific practice. A convincing research data management is therefore also increasingly becoming a prerequisite for the successful acquisition of third-party funding. This course will give you an overview of the individual aspects of research data management by means of an interactive presentation with sound.
Main topics:
- Overview of the sub-aspects of research data management: What is it all about?
- Requirements of third-party funding bodies and science organisations: What do I have to consider?
- Data documentation tools: Which ones can I use?
- The data management plan: How do I plan how to handle my data?
- Data publication: How does it work and what do I get out of it?
- Support services: What services can I use and who can help me?
Target group: Researchers and research support staff who would like to gain an introductory overview of the topic of "research data management" and have little prior knowledge.
Technical info (English)
These course materials are meant for autonomous study. Slides are animated and contain recorded explications. Please see this website for further information on the different file formats:
Files
240802_RDM_Introduction_final.mp4
Files
(1.8 GB)
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Additional details
Additional titles
- Subtitle (English)
- Basics, tips & tricks
Dates
- Created
-
2024-08-02