During the international Love Data Week we celebrate the beauty of open research data. Join us the week of 9 - 13 February and spread the love! In 2026, Lib4RI will contribute five online coffee lectures to the Swiss schedule. Check out the Lib4RI schedule below for brief descriptions of each coffee lecture.
Join us every day 13:00-13:30 to learn about a different tool, topic or experience surrounding research data management.
Love Data Week coffee lectures
Speaker: Katharina Eggenberger (WSL) As part of our coffee lecture series Behind the bookshelves, we will additionally be hosting a talk the week before.
In May 2020, the ETH Board adopted an “Open Research Data Position of the ETH Domain” and established an “Open Research Data Programme”. This programme consists of five measures. Measure four concerns the legal basis for Open Research Data (ORD), which is the main topic of the talk.
Three objectives are being pursued as part of this measure four: (i) identification of the (federal) legal obstacles to making research data accessible as ORD by researchers or the institutions of the ETH Domain; (ii) clarification of the responsibilities of researchers and the institutions of the ETH Domain; (iii) development of ORD guidelines that can be used as a common reference in the institutions of the ETH Domain. These guidelines aim to facilitate and promote the making available of research data as ORD by providing a set of rules to be applied. Although data ownership vests in the respective institution of the ETH Domain , ORD-related decisions should be made by the researchers and the research group leaders based on the ORD strategy of the respective institution.
Speaker: Dr. Felix Moerman (Lib4RI)
Data management plans (DMPs) are an essential tool for preparing the collection, storage, and processing of research data. Yet the creation of DMPs can often feel cumbersome. Differences of expectations by funding agencies can result in duplicated efforts, and tracking changes to the DMP can be laborious.
To facilitate this process at the ETH-domain research institutes, Lib4RI has prepared a unified DMP template on Data Stewardship Wizard. This demonstration aims to show how this template can be used to a) more easily track changes in the DMP, b) allow for easy export to multiple formats/funder requirements, and c) minimize work effort for creating DMPs.
Speaker: Dr. Corsin Battaglia (Empa)
I will present an overview of our efforts in developing Aurora, an automated robotic battery materials research platform, designed to accelerate the validation of novel battery materials in battery cells. Our platform is powered by automated workflow and data management. I will describe how we structure, annotate, and link our data in compliance with FAIR data principles, employing the BattINFO ontology and how we leverage Bayesian optimization to define a series of experiments. I will conclude by summarizing how we leverage the multimodal self-learning capabilities of large language models in our research.
Speaker: Dr. Chase Núñez (Lib4RI)
In the fast-paced world of scientific research, where data is often vast and experiments must move quickly, managing and versioning data effectively can become a major challenge. This talk will provide practical, scalable, and sustainable strategies for versioning research data, balancing the need for speed with the imperative of long-term reproducibility and reusability. We will explore the core principles of Research Data Management (RDM), including how to preserve raw data, record transformations, and leverage tools like Git Large File Storage (LFS) for large datasets. Through real-world examples, we will demonstrate how to integrate version control into your everyday workflows, ensuring that your research remains accessible, reproducible, and ready for future discovery. Key topics will include how to maintain an immutable record of raw data, how to document data transformations, and the benefits of using institutional and external repositories for publishing datasets. By the end of the session, you will leave with a checklist, practical commands, and a clear strategy for improving the versioning of your own research data.
Speaker: Séverine Duvaud (Swiss Institute of Bioinformatics)
Galaxy is an open, user‑friendly platform for reproducible data analysis. This talk introduces Galaxy Swiss, a national instance designed to support researchers across Switzerland. After a brief overview of the Galaxy project and its mission, we will walk through the interface and demonstrate a simple analysis workflow. The session concludes with practical guidance on how to register, access training resources, and join the Swiss Galaxy community.
