Research Data Management 3: Open Access and Data Publishing
In collaboration with Scientific IT Services, ETH Library conducts three 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
We also hold workshops from this series for groups of five people or more.
This workshop series is comprised of three individual workshops, each building upon the knowledge acquired in the previous one. Participation in all three 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.
- What to know before you submit to a journal, or sign its contract
- Open access repositories vs. academic social networks
- How to find high quality open access journals
- Where to apply for funding for your open access publication
- Research funders’ open access and open research data policies, and institutional policies
- Copyright and Creative Commons licenses
- Where to find a suitable data repository
- How to self-archive a paper or deposit a dataset in the Research Collection
At the end of the course, you are able to
- fulfil current requirements on open access and open research data by research funders
- define and apply the FAIR Data Principles
- identify appropriate Creative Commons Licenses for your needs
- critically evaluate and use tools for open access and data publishing
- 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.