Research data management and related topics: know-how for your research project

There are eight workshops in the series that will be held in September, October and November 2022, the first six of which build on each other.

• The first course teaches the basics of research data management and how to apply them. This will constitute the foundation of your own research project.
• The second workshop is about data management planning and how you, as a scientist, can meet the requirements of research funders and ETH Zurich.
• The third workshop delves into research involving sensitive data and points out best practices for their secure handling along the entire data life cycle.
• Part four of the workshop series is dedicated to publishing data and working with open access. Among other things, you will learn about the requirements of research funders regarding open access and open research data as well as Creative Commons licenses.
• The fifth workshop focuses on active research data management: you will learn best practices and tools for data management during a research project.
  
• Part six deals with reproducible scientific computing and data analysis. Topics include the advantages and disadvantages of computational notebooks and the management of computing environments.
• Part seven addresses working with images in research, including topics such as image documentation, organisation, and management as well as their (re)use in scientific publications.
• The eighth and final workshop is all about citizen science and its added value for researchers. In addition to the general principles of the citizen science method, it also deals with the various approaches and associated tools.
  

The workshop series will be held online via Zoom except for workshop six. The workshops will take place on Wednesday mornings between 28 September and 16 November 2022.

All courses will be held in English. They are aimed at doctoral students, postdocs, academic staff and other members of ETH Zurich.