The Pangeo Showcase returns to the April 5th community meeting where we welcome @acocac to talk about the Environmental Data Science Book.
Title: Environmental Data Science Book: a computational notebook community showcasing open and reproducible environmental science
Invited Speaker: Alejandro Coca-Castro (Twitter: @alejo_coca | ORCID ID:0000-0002-9264-1539), Anne Fouilloux (ORCID ID:0000-0002-1784-2920), and J. Scott Hosking (ORCID ID:0000-0002-3646-3504)
When: Wednesday April 5th at 12PM EDT
Where: Launch Meeting - Zoom
Abstract:
With the great diversity in open data, software and computational resources, environmental data science research and applications have accelerated rapidly. Building upon global communities such as the Turing Way (https://the-turing-way.netlify.app/) and Pangeo, the Environmental Data Science (EDS) book (www.edsbook.org) is a community-driven online resource aimed at educating and leveraging good scientific software and data management practices among environmental scientists through peer-reviewed findable, accessible, interoperable and reusable (FAIR) computational notebooks. The community has published ten DOI-tagged Jupyter notebooks analyzing environmental datasets and models through the Pangeo software stack and HoloViz ecosystem. We expect to increase contributions highlighting scalable Python open-source developments in Pangeo and ecosystems alike in other programming languages e.g Julia and R through partnerships with climate, environmental and open education communities (see for instance the Climate Informatics Reproducibility Challenge, https://cambridge-iccs.github.io/climate-informatics-2023/reproducibility-challenge). In this presentation, we will present our mission and vision, highlight key experiences adapting existing open infrastructure and research object platforms to host and curate our notebooks, and share activities over the next months and how to get involved.
Relevant material:
GitHub - alan-turing-institute/environmental-ds-book: A computational notebook community for open environmental data science 🌎
Agenda:
- 5-15 minutes - Community showcase
- 5-15 minutes - Q&A / Community check-in
- 20-35 minutes - Agenda and Open discussion