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文献信息
Data Science in Science is an open access, international journal publishing original research and reviews at the intersection of Science and Data Science. Its aim is to advance: new ideas for experimental and observational data-driven learning and discovery that help address fundamental questions at the frontiers of Science and scientific inference; quantification and summarization of uncertainty from data-driven theories and complex Data Science models, algorithms, and workflows; and new practices for scientific reproducibility and replicability enabled through Data Science.
vol.5 (2026)
vol.4 (2025)
vol.3 (2024)
vol.2 (2023)
vol.1 (2022)