- Zhejiang University, School of Earth Sciences, 866 Yuhangtang Road, 310058, Hangzhou, China
Big Data and AI are reshaping Earth science discovery, yet deep-time geoscience still faces persistent barriers: scattered heterogeneous datasets, fragmented analysis tools, and limited end-to-end support for reproducible, collaborative workflows. These gaps make it difficult to harmonize data, knowledge, models, and computing across communities. We present DEEP (DDE Enabling and Empowering Platform), a one-stop online research platform under the Deep-time Digital Earth (DDE) program, providing a unified entry point (https://deep-time.org) to deep-time data, knowledge, models, and scalable computing services. DEEP is aimed at enabling and empowering global geoscientists’ collaborative innovation and discoveries by strengthening reproducibility across the research lifecycle under Open Science practices.
How to cite: Hu, L., Wang, Y., and Du, Z.: DEEP Platform: Empowering Global Geoscientists in Data-Driven Research Era, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22733, https://doi.org/10.5194/egusphere-egu26-22733, 2026.