Training courses & events

This course consists of online-materials for independent study that are permanently available to you.

Complementary discussion sessions take place approximately every six months via video conference. However, you are welcome to contact us at any time if you have questions about the course.

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.

In this event, you will first get an overview of the individual aspects of research data management by means of an interactive presentation with sound and accompanying exercise materials and receive tips and tricks for practice. On the event date, there will be a question and discussion session in the format of a video conference, in which you are welcome to contribute your own experiences.

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.

Teachers

M.A. Anna-Karina Renziehausen
Research Data Management
Technische Informationsbibliothek (TIB)

Dr. Yvana Glasenapp
Research Data Management
Dezernat 4 – Forschung und EU-Hochschulbüro, Technologietransfer

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:

• Which data protection requirements exist?
• What should I be aware of with regard to declarations of consent?
• How can data be anonymised?
• How does the encryption of data work?
• How do I keep my data safe?

Teachers

M.A. Anna-Karina Renziehausen
Research Data Management
Technische Informationsbibliothek (TIB)

Dr. Yvana Glasenapp
Research Data Management
Dezernat 4 – Forschung und EU-Hochschulbüro, Technologietransfer

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 who work with software code

Teachers

M.A. Anna-Karina Renziehausen
Research Data Management
Technische Informationsbibliothek (TIB)

Dr. Yvana Glasenapp
Research Data Management
Dezernat 4 – Forschung und EU-Hochschulbüro, Technologietransfer