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Open Science is a paradigm shift for science; open practices can remove barriers to sharing science and increase its reproducibility and transparency. As society faces global, interdisciplinary challenges like climate change, open scientific research including open data, software, workflows, samples is more important than ever. AI and ML methods are increasingly used in the Earth, space, and environmental sciences to investigate these large challenges, and analysis-ready data for use in these methods is predicated on open, FAIR principles for data sharing. However, maximizing FAIR-ness and ensuring research is as open as possible across the many Earth, space, and environmental science disciplines encompasses a range of challenges, including lacking infrastructure, incentives, resources, and guidance for all participants in the research ecosystem. We believe that societies, including AGU, EGU, JpGU, communities like ESIP, and beyond, have a significant role to play in catalyzing collaboration to overcome this range of challenges. Here, we share progress on collaborative efforts involving AGU, partners, and the broader community to solve these challenges, including developing discipline-specific guidance for researchers on data and software sharing, training for researchers in leading open science practices, and guidance and partnerships for publishers interested in implementing FAIR and CARE in the publishing workflow. We look forward to partnering on global collaborations to advocate for our researchers and the open future of science.
Stall et al. (Sat,) studied this question.