- Training: Publishing Research Data with fairly ToolsetThe FAIR principles require research data to be published with complete metadata and ideally shared at different key milestones during the research. However currently, data publication and sharing happen mostly at the end, and published data mostly lack important supplementary information and metadata limiting its reusability. On the other hand, regular high-quality data publication takes time and requires manual interaction with the data repositories.Read more
- Talk: High-performance Spatial Data Management and Analysis with DuckDBDuckDB is a novel in-process SQL database system designed for analytical workloads that has been making waves in the data science and engineering community. Not only for its impressive performance, but also for its focus on ease of use and integrations with the wider data ecosystem. A key part in making this possible is DuckDB's flexible extension system that enable DuckDB to be used across different domains while the core system itself remains small and focused. One such extension is the DuckDB Spatial Extension which brings geospatial data processing capabilities to DuckDB's vectorized execution engine and memory model, allowing users to perform complex spatial queries and transformations.Read more