Increasing interests in (and requirements for) making scientific data publicly available has driven the launch and growth of a range of scientific data repositories with various storage back-ends, often cloud-based. This proposed emergent session is about the front-end: how can sharers of open datasets best showcase what's in their datasets, so their contemporary and future colleagues can appreciate, understand, re-analyze, and even potentially reach new insights and discoveries from their hard-won data? The host(s) believe that open examples -- publicly viewable and runable computational notebooks with code & text that accesses, explains, and uses the open data -- are a/the key ingredient to drive more engagement with and scientfic advances from open datasets. This session will get into the nitty gritty of puzzles, emerging best practices, and other considerations for producing and disseminating such open examples, such as how remote data is best accessed, data subsetting, cloud & containerized example sandboxes, and more.

OSR 2025 | Emergent Session 6: Showcasing open data with run-anywhere open examples