[Webinar] Be FAIR and CARE: Core Principles for Open Science in Research with Objects
OnlineWant to make your research more open, ethical, and impactful? Join this WiNoDa Knowledge Lab webinar to discover how the […]
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[Webinar] Data Management with SQL: Hands-On Session
OnlineCurious about how to structure and query your research data efficiently? Join this hands-on webinar for a practical introduction to […]
[Online Training] If Objects Could Talk: Storytelling with Data for Public Engagement
OnlineHow do objects speak through their data? What stories are hidden in their histories of use, collection, and transformation? In […]
Research Data Day 2025
University of Bremen Bibliothekstraße 3, Bremen, Bremen, GermanyJoin the WiNoDa Knowledge Lab at the FAIRplay Station (Glashalle). MORE INFORMATION ABOUT RESEARCH DATA DAY
[Webinar] The Animal Sound Archive – An Open Data Source for Scientific Research
OnlineThe Animal Sound Archive at the Museum für Naturkunde Berlin is one of the world’s oldest and most extensive collections […]
Long Night of Science 2025
Museum für Naturkunde Berlin Invalidenstr. 43, Berlin, BerlinInsights into early plant-food production at Göbekli Tepe - Data analysis at the WiNoDa Knowledge Lab How important were plants […]
[Webinar] Data Ethics and Open Science: Navigating the Complexities of Research Data Accessibility and Transparency
OnlineWhy is research data often less accessible than expected? What happened to the original idea of open access, and why […]
[Webinar] Interactive Data Visualizations in R: Create Your First Shiny App
OnlineThis webinar will provide an introduction to interactive data visualization using R's Shiny framework, enabling you to create dynamic and […]
[Webinar] R as a Mini GIS: Build Interactive Maps from Scratch
OnlineIn this webinar, you will learn how to create interactive maps in R from scratch. We will cover key workflows, […]
[Online Winter School] Research with Natural Science Collections: Data and Methods
OnlineJoin us for an immersive five-day winter school and become a data professional in object-related research for natural science collections. […]