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Accelerating AI for science: open data science for science [PDF]
Royal Society Open ScienceAspirations for artificial intelligence (AI) as a catalyst for scientific discovery are growing. High-profile successes deploying AI in domains such as protein folding have highlighted AI’s potential to unlock new frontiers of scientific knowledge ...
Neil D. Lawrence, Jessica Montgomery
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Procedia Computer Science, 2016 We describe an introductory data science course, entitled Introduction to Data Science, offered at the University of Illinois at Urbana-Champaign.
Brunner, Robert J., Kim, Edward J.
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ISPRS International Journal of Geo-Information, 2020 The field of data science has had a significant impact in both academia and industry, and with good reason [...]
Fernando Bacao +2 more
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Research Ideas and Outcomes, 2017 A proposal to create a full-semester zero-entry level course about the responsible handling of research data and the associated analyses, storage, and sharing.
Nicolas Schmelling
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Re-engineering Clinical Trial Management System Using Blockchain Technology
Blockchain in Healthcare Today, 2022 The annual ConV2X is a leading international health tech symposium driving real world evidence, strategy, research, operations and trends to create a blueprint for a new digital health era.
Yan Zhuang, PhD, National Institute of Health Data Science, Peking University +2 more
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Data Science — definition and structural representation
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, 2021 This article is a continuation of the discussion on the existing meanings and formalization of the definition of “Data Science” as an autonomous discipline, field of knowledge, clarification of its defining components, integration, and interaction ...
Pavlo Maslianko, Yevhenii Sielskyi
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Designing Data Science Workshops for Data-Intensive Environmental Science Research
Journal of Statistics and Data Science Education, 2021 Over the last 20 years, statistics preparation has become vital for a broad range of scientific fields, and statistics coursework has been readily incorporated into undergraduate and graduate programs.
Allison S. Theobold +2 more
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Journal of the Medical Library Association, 2020 Increasingly, users of health and biomedical libraries need assistance with challenges they face in working with their own and others’ data. Librarians have a unique opportunity to provide valuable support and assistance in data science and open science ...
Lisa Federer +5 more
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Towards Ordinal Data Science [PDF]
Transactions on Graph Data and Knowledge, 2023 Order is one of the main instruments to measure the relationship between objects in (empirical) data. However, compared to methods that use numerical properties of objects, the amount of ordinal methods developed is rather small.
Stumme, Gerd +2 more
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OPEN SCIENCE DATA CATALOGUE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Open Science is a catalyst for innovation. Across the Earth Observation value chain, from R&D to prototyping new products and development of commercial applications, openness can play an important role by promoting long-term sustainable, community ...
F. Schindler +5 more
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