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FACETS, 2019 Even though it has only entered public perception relatively recently, the term "data science" already means many things to many people. This chapter explores both top-down and bottom-up views on the field, on the basis of which we define data science as "a unique blend of principles and methods from analytics, engineering, entrepreneurship and ...
Paul McNicholas
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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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Patterns, 2020 Most data science is about people, and opinions on the value of human data differ. The author offers a synthesis of overly optimistic and overly pessimistic views of human data science: it should become a science, with errors systematically studied and ...
DL Oberski
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Population Data Science: The science of data about people [PDF]
International Journal of Population Data Science, 2018 Introduction Societal and individual benefits of data-intensive science are substantial but raise challenges of balancing individual privacy and public good, while building appropriate governance and socio-technical systems to support data-intensive ...
Kim McGrail, Kerina Jones
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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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A Systematic Literature Review of Undergraduate Data Science Education Research [PDF]
Journal of Statistics and Data Science EducationThe presence of data science has been profound in the scientific community in almost every discipline. An important part of the data science education expansion has been at the undergraduate level.
Mine Dogucu +4 more
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Accelerating AI for science: open data science for science
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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The science is in the data [PDF]
IUCrJ, 2017 Understanding published research results should be through one's own eyes and include the opportunity to work with raw diffraction data to check the various decisions made in the analyses by the original authors. Today, preserving raw diffraction data is technically and organizationally viable at a growing number of data archives, both centralized and ...
John R. Helliwell +3 more
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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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