Research data management
Research data management (RDM) is part of good scientific practice. With RDM in the research process, you facilitate the re-use of data by yourself, your research group or your community.
Our team supports you in planning and realising your research data management.
Research Data Life Cycle (Illustration: ETH Library)
Content
This includes, for example, these topics:
- What are the requirements for RDM per phase in the cycle?
- Which services can I use at ETH Zurich?
Data management planning and DMPs
- How do we organise RDM in our group?
- What are guiding questions for an RDM strategy?
- What content belongs in a project-related data management plan (DMP)?
Guidelines and requirements of research funders and the ETH Zurich
- When do I have to create a DMP?
- Which data do I have to publish and when?
- What are FAIR Data?
- How do we organise and annotate data in the project?
- What tools and services are available at ETH Zurich?
- How and where can I publish data?
- Which licences for use should I assign?
- Which file formats are particularly suitable for subsequent re-use?
Target audience
- (Master's students)
- Doctoral students
- Scientific staff
- Technical and administrative staff
Languages
- German
- English
Meeting point
The consultation can be held by agreement
- via Zoom or MS Teams
- at one of the ETH Library locations
- via phone
Accessibility
Our consultations become barrier-free. Please contact us in advance at +41 44 632 21 35 or at so that we can optimally meet your needs.
