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 in the scope of the Postdoc Appreciation Week Germany (16-20 September 2024)
The German version of the Postdoc Appreciation Week takes place every year in September. Individuals and institutions involved in research data management are invited to organize information events. Although the target audience are primarily postdocs, many events are open to everybody interested.
Coffee Lectures held by Service-Teams Forschungsdaten
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Organizing the handling of research data within the own working group: From proposals to practice (in German)
Organizing the handling of research data within the own working group: From proposals to practice (in German)
If you are aiming for a research career after your doctorate, you should definitely have a closer look at the topic of research data management (RDM). Whether you set up your own junior research group, lead a working group within a joint project or perhaps assume the role of a data steward: You should always be able to present your RDM convincingly already in the proposal stage and, of course, to put it into practicelater on.
In this presentation, you will get some tips and suggestions regarding the content of RDM proposal chapters and data management plans, as well as for written agreements between project partners. You will also get an overview of possible RDM-related tasks that you may have to face. There will be time for questions and open discussion.
Date: Friday, 20 September 2024
Time: 10:00-11:00 a.m.
Access link: Big Blue Button online-Training Room of the Team Research Data Management: https://meet.gwdg.de/b/vol-pdx-wua-rio
Condition for participation: Everybody interested is invited to join without registration. Simply enter the virtual class room at the indicated time .
Target group: Postdocs leading research teams or subprojects or who want to assume the role of a data steward
Presentation and moderation:
Dr. Volker Soßna
Forschungsdatenmanagement
Dezernat 4 – Forschung und EU-Hochschulbüro, Technologietransfer
Introductory courses
Introductory courses are designed for persons with little prior knowledge regarding research data management and usually take place at least once per semenstre. Some courses are offered directly by the research data support team and others via the professional development programme of Leibniz University Hannover, via the training programme of the graduate school or via the inter-university course programme.
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Managing digital research data - Basics, tips and tricks
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
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:
- 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 -
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 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
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.