Open science communities are pushing the boundaries of how we approach scientific research. With advancements in computing, software, and data management, the tools are available to transform science into a truly open, collaborative, and inclusive space. By following open science practices, we can increase accessibility of scientific research and findings, improve collaboration, and facilitate high quality, reproducible science. This session will showcase success stories in the Earth and space sciences and highlight a range of open science platforms, datasets, and computational tools. Join this session for real-world examples of how open science practices have empowered and enabled scientists across disciplines to carry out successful research projects.
ED16B - Open Science Practices and Success Stories Across the Earth, Space, and Environmental Sciences IV Oral
Nordic e-Infrastructure Collaboration (NeIC)
This research object is a fork from RO examplifying Sea ice forecasting using IceNet notebook published in the Environmental Data Science book. Its main purpose is to show how to make derivative work and keep all the history of contributions and contributors.
Sea ice forecasting using IceNet (Jupyter Notebook) forked from the Environmental Data Science book
This Research Object aggregates all the different Research Objects and resources used for presenting the Environmental Data Science Book at AGU 2022. The Environmental Data Science book is a living, open and community-driven online resource to showcase and support the publication of data, research and open-source tools for collaborative, reproducible and transparent Environmental Data Science. The Environmental Data Science is: a book a community a global collaboration We target to make sense of: environmental systems environmental data and sensors innovative research in Environmental Data Science open-source tools for Environmental Data Science We hope you find the content in the resource helpful. The resource and executable notebooks are free under a CC-BY licence and OSI-approved MIT license, respectively.
AGU 2022 - Environmental Data Science Book: a community-driven resource showcasing open-source Environmental science - snapshot
AGU 2022 - Environmental Data Science Book: a community-driven resource showcasing open-source Environmental science
Anne Foilloux, Alejandro Coca-Castro, Environmental Data Science Book Community, Jean Iaquinta, Tom Andersson, Nick Barlow, and . Scott Hosking. "AGU 2022 - Environmental Data Science Book: a community-driven resource showcasing open-source Environmental science." ROHub. Dec 08 ,2022. https://doi.org/10.24424/qkna-rz18.
Environmental Data Science Book Community
Recording of the presentation given at AGU2022.
Research Object demonstrating sea ice forecasting using IceNet. The corresponding Jupyter Notebook has been published in the Environmental Data Science book.
Sea ice forecasting using IceNet (Jupyter Notebook) published in the Environmental Data Science book
Computational notebooks community focused on Environmental Data Science
Science and technology/Natural science/Biology
This Research Object aggregates all the different Research Objects and resources used for presenting the Environmental Data Science Book at AGU 2022.
Economy, business and finance/Economic sector/Media/Book industry
The Environmental Data Science book is a living, open and community-driven online resource to showcase and support the publication of data, research and open-source tools for collaborative, reproducible and transparent Environmental Data Science.
We target to make sense of: environmental systems environmental data and sensors innovative research in Environmental Data Science open-source tools for Environmental Data Science