CLARIN-CH Trainings 2025: Introductory Session

This introductory session of our CLARIN-CH Training Sessions 2025 will provide an overview of the CLARIN-CH ecosystem of infrastructures, highlighting their role in supporting research involving language resources and language technology. Participants will gain insights into the various infrastructures available within CLARIN-CH and how they facilitate Open Research Data (ORD) practices in language research. Each of the infrastructures will be further addressed, both from a theoretical and a hands-on perspective, in dedicated sessions during March-June 2025.

The Zoom link will be sent to participants upon registration: Sign up for the training sessions

Topics covered in the introductory session:

1. What is CLARIN-CH?

2. The Importance of ORD and FAIR in Language Research

• Open Science, Open Research Data (ORD) and FAIR (Findable, Accessible, Interoperable, Reusable) data
• How ORD and FAIR practices enhance reproducibility, trust, collaboration and data sharing (e.g. linking your research data to your scientific paper)
• Hands-on: analysis of case studies

3. Overview of the CLARIN-CH ecosystem of infrastructures

• The LiRI Corpus Platform
• The swissdox@LiRI media database
• ZHAW Swiss-AL
• Language Repository of Switzerland (LaRS) and the SWISSUbase repository
• The CLARIN-CH Documentation Platform
• Introduction to key ORD projects, such as UpLORD and FAIR-FI-LD, and their main outcomes:

– Metadata interoperability and harvesting by CLARIN Virtual Language Observatory
– Curation workflow by LaRS team
– Standard data formats
– CLARIN Federated Content Search technology
– Videoscope @ USI

4. Challenges and solutions of ORD and FAIR for Language Data

• Handling sensitive and complex linguistic data, including ethical and legal considerations
• Big volume of data
• Lack of training and time for appropriate data management and data curation
• Encouraging researchers and institutions to engage with CLARIN-CH

Who should attend?

This session is designed for researchers using language data, irrespective of scientific discipline, sub-field of linguistics or approach, as well as data stewards, who want to learn more about the CLARIN-CH research data ecosystem and its tools.

By the end of the session, participants will have a clearer understanding of how to navigate the CLARIN-CH infrastructures, apply ORD principles effectively, and address challenges in language data management. This will make your life much easier when publishing your data and when write your DMP.

Go to the registration form