Trainings

The HeFDI Data School offers interdisciplinary online trainings on research data management. The Data School is aimed at doctoral students and research assistants at universities in Hessen and is free of charge. You can choose between basic and advanced modules.

The basic modules provide a first introduction to research data management and focus on basic terms, standard methods and best practices.

The advanced modules provide in-depth insights in selected sub-areas of RDM. For those sessions, basic knowledge of RDM is an advantage, but is not mandatory.

For more information and registration, please click here

The HeFDI Data Talks are bi-weekly open information and discussion events. Every other Friday, we introduce trainings and services on data management and discuss current topics. Currently, this includes in particular the consortia of the National Research Data Infrastructure (NFDI) with their programs, but we also talk about local and regional programs and provide general information on data management. If you would like to suggest a specific topic, please contact the HeFDI office.

The Data Talks are offered as a web conference and can be attended free of charge. At the beginning of a talk, invited experts provide input for about 30 to 40 minutes, followed by an opportunity for discussion and questions.

Registration and login data

Please register once with this registration form. Registration is also possible during the respective event. You will receive the login data valid for the entire event series with the confirmation email.

After this one-time registration, you can attend one or more events at any time, depending on your interest and time availability.

As part of the Graduate School program, regular training courses and workshops are offered on research data management and related topics. The entire program is available here.

The interactive Ilias course was developed as part of the HeFDI project and addresses questions such as:

• What is research data management?
• Why is it important?
• Research data management and external funding proposals

Current topics on RDM are addressed and illustrated in videos, quizzes and good practices. The chapters build on each other, but can also be completed seperately.

The self-study module is designed for:

• Researchers (professors, research assistants, PhD students) who produce, analyze and share data
• Teaching staff
• Students who want to learn more about RDM before writing their thesis

The self-study course covers the following subjects:

1. Introduction to research data management
2. The life cycle of research data
3. The data management plan
4. Metadata and metadata standards
5. FAIR and  CARE principles
6. Data quality
7. Data organization
8. Data storage and archiving
9. Legal issues