Training courses & events
You can find presentations and training materials (generally in German) related to our courses in their newest version at Materials.
Coffee Lectures
Coffee Lectures are short informative presentations followed by a discussion focussing on diverse RDM topics. Though they may target specific groups, they are usually open to everyone. We offer Coffee Lectures as contributions to theme days or weeks, such as the Love Data Week (mid-February) or Postdoc Appreciation Week (autumn).
Coffee Lectures by members of our team held in German are described on the German version of this page.
Introductory courses
Introductory courses are designed for persons with little prior knowledge regarding research data management and usually take place at least once per year. In addition, our self-study course is at your disposal any time.
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Permanently available self-study course: Managing digital research data - Basics, tips and tricks
This course consists of online-materials for independent study that are permanently available to you.
Of course, you are also welcome to contact us at any time if you have any questions about the course. On request, we are also happy to organise a supplementary session – either online or in person – for groups of five or more people.
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 audio-accompanied, interactive presentation will provide you with an overview of the various aspects of research data management at your own pace, as well as practical tips and tricks.
Main topics:
- What is research data management and why is it important?
- Planning your data management
- Specifications, guidelines and laws
- Collecting, storing and processing data
- Documenting your data processing
- Protecting your data
- Archiving and publishing your data
- Supporting services and initiatives
Target group: Researchers and research support staff who would like to gain an introductory overview of the topic of “research data management” and who have little prior knowledge.
Advanced courses
In these courses specific aspects of research data management are regarded in detail. In each new course the theme will change. Participants are expected to already have some basic knowledge.
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Dealing with personal research data - legal foundations, methods and tools
This course consists of online-materials for independent study that are permanently available to you. Currently, the course materials are only available in German.
Note: The content of the chapters on the legal basis has been revised in consultation with the LUH Data Protection Unit.
Many projects generate personal research data, for example when interviews are conducted, videos are recorded or surveys are held. The European General Data Protection Regulation (GDPR) and the data protection laws at federal and state level contain strict requirements under which conditions such data may be collected and processed.
In this course you will learn about the most important legal requirements. However, the focus is on organisational and technical measures for GDPR-compliant handling of personal research data.
Main topics:
- Introduction to the protection of personal data
- Legal bases
- Informed consent
- Protection against data misuse
- Anonymising data
- Publishing personal data
Target group: Researchers, PhD students, postdocs, and technical and administrative staff working with personal research data.
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FAIR Software Management
This course consists of online-materials for independent study that are permanently available to you.
How can self-programmed software remain usable in the long term? This is not only a technical question, but also an organisational one.
Many research projects are dependent on software and many researchers write software code that is itself part of their research results. However, such software is often not very durable and difficult to reuse. For other types of data, strategic procedures are established in the sense of good research data management so that this data complies with the FAIR principles. So what does good software management look like?
In this workshop we want to give an overview of what RDM means for software projects, which best practices help to make software reusable and how software code can be published. Various methods and concepts will be presented. No prior knowledge is required, the workshop is also suitable for interested people who will be working with code in the future or have just started.
Topics
- Introduction to research data management
- Making research software reusable
- Publishing research software
- Supporting services and initiatives
Target group
Scientists, doctoral candidates, postdocs, students working with software code
Institute and project-specific training
Are you interested in an event specifically for your institute or your project? Contact us! We will be happy to prepare a workshop tailored to your wishes.
Please take note of our declaration on privacy and data protection.