Swiss Open Academic Data Day (SOAD)

On 10 September 2025, researchers, data scientists and practitioners from all over Switzerland will meet to explore the potential and challenges of Open Academic Data.

Swiss Open Academic Data (SOAD) has the ambition to build an active community around open academic data in Switzerland. Users of  all experience levels are invited to network with each other at this event. Join us to exchange ideas and share best practices on platforms such as OpenAlex, OpenAIRE, ORCID, and Crossref. Whether you are an expert or just getting started, you can look forward to engaging discussions, hands-on workshops and exciting insights.

The programme features lightning talks and workshops with speakers from ETH Zurich, EPFL, the University of Zurich, TU Wien, SNF, Lib4RI, Crossref, and other institutions. They will present tools, applied methods, and innovative use cases. The event promotes knowledge-sharing between research and practice, enabling the exchange of experiences and the discussion of issues in the open data landscape.

The full external page SOAD program can be found here.

Register for the SOAD Day now by filling out the external page registration form.
Please note that the number of participants is limited to 50. Places will be allocated on a first-come, first-served basis.
SOAD Day will take place on 10 September 2025, from 09.00 to 16.00, in the main building at ETH Zurich, R?mistrasse 101.

SOAD Day will be followed by the SYoS Lecture “Building Community Infrastructure for Collaborative Metadata Enrichment” by Juan Pablo Alperin, Associate Professor at the Simon Fraser University, from 17.00 to 18.30,  also at ETH Zurich, Zentrum 365体育官网_365体育备用【手机在线】 , Leonhardstrasse 21, LEE E 101.  

Both events will be held in English. 

Note on the translation

This text has been translated for your convenience using a machine translation tool. Although reasonable efforts have been made to provide an accurate translation, it may not be perfect. If in doubt, please refer to the German version.

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