Research data management

Abstract

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.

Learning Objectives

The learning objectives are based on the needs of the students and support research data management.

Content

Research data lifecycle

• 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?

Active data management

• How do we organise and annotate data in the project?
• What tools and services are available at ETH Zurich?

Publishing and preservation

• How and where can I publish data?
• Which licences for use should I assign?
• Which file formats are particularly suitable for subsequent re-use?

Location

• ETH Zentrum
  ETH-Bibliothek
• Online
  Zoom / MS Teams

Target audience

Language

Comment

You can find the registration for the consultation under “Open activity webpage”.

Accessibility

Our consultations become barrier-free. Please contact us in advance at +41 44 632 21 35 or at info@library.ethz.ch so that we can optimally meet your needs.