Research Data Management 1: Basics and how to apply them
In collaboration with Scientific IT Services, ETH Library conducts four consecutive workshops, each building upon the knowledge of the previous, which focus on the various elements of research data management along the research data life cycle. Register for individual workshops or for the whole series.
- a discussion on rules and regulations by research institutions and research funders
- basics of data management planning and DMP writing
- principles of long-term preservation of research data
- introduction of best practices and tools for daily data management
- options for secure data storage and backup
- strategies and workflows for managing large data sets
- an introduction to open access publishing
- a discussion on copyright and Creative Commons licenses
- an introduction to the Research Collection
- guidance on how to find a suitable data repository
- Research on confidential data (sensitive personal data),
- Data privacy and protection: legislation and cybersecurity awareness,
- Data classification: confidential data vs. public data,
- Leonhard Med, ETH Zurich: Swiss secure, powerful and versatile Scientific IT Platform for research on and with confidential data,
- “Good practices” for secure handling of confidential research data along the entire data life-cycle, from data collection, data management and analysis to publication in repositories and long-term preservation.
We also hold workshops from this series for groups of five people or more.
Please arrange a date with us.
This workshop series is comprised of four individual workshops, each building upon the knowledge acquired in the previous one. Participation in all four workshops is highly recommended, but not mandatory.
Please indicate in your application, if you would like to participate in the entire workshop series or only in one or two individual workshops.
- research data management along the research data lifecycle
- research data management in the context of Open Science
- ETH rules and regulations regarding research data management
- Funders’ open access and open research data policies (SNSF, Horizon2020)
- basics of data management planning and how to write a data management plan (DMP)
- long-term preservation of research data
At the end of the course, you are able to
- explain in detail the basic concepts and components of research data management along the research data life cycle in a national and international context
- follow the principles of good scientific practice with respect to data management in general and the content of the ETH Guidelines for Research Integrity and the Compliance Guide, in particular
- understand the basics of a DMP and are able to write a research-funder compliant DMP
- understand the challenges of long-term preservation and are able to prepare data for it
- Doctoral students
- Scientific staff
- other members of ETH Zurich
- Please note: for workshop 2, participants should have at least some experience in conducting a research project.