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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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Data Science: A Comprehensive Overview [PDF]
ACM Computing Surveys, 50(3), 43:1-42, 2017, 2020 The twenty-first century has ushered in the age of big data and data economy, in which data DNA, which carries important knowledge, insights and potential, has become an intrinsic constituent of all data-based organisms. An appropriate understanding of data DNA and its organisms relies on the new field of data science and its keystone, analytics ...
arxiv +1 more source
Open Science and Data Science [PDF]
Data Intelligence, 2021 Data Science (DS) as defined by Jim Gray is an emerging paradigm in all research areas to help finding non-obvious patterns of relevance in large distributed data collections. “Open Science by Design” (OSD), i.e., making artefacts such as data, metadata, models, and algorithms available and re-usable to peers and beyond as early as possible, is a pre ...
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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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IEEE Computer Graphics and Applications, 2017 Data science methods and approaches address all stages of transition from data to knowledge and action. Visualization of this data is essential for human understanding of the subject under study, analytical reasoning about it, and generating new knowledge.
Andrienko, Gennady +2 more
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Security of Data Science and Data Science for Security [PDF]
, 2019 In this chapter, we present a brief overview of important topics regarding the connection of data science and security. In the first part, we focus on the security of data science and discuss a selection of security aspects that data scientists should consider to make their services and products more secure.
Tellenbach, Bernhard +2 more
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Political Science Is a Data Science
The Journal of Politics, 2021 This discussion is about changes in the world, changes that affect us as academics, changes that affect us as empirical researchers (qualitative and quantitative), and changes that affect our students and our universities/ colleges I am an empirical social scientist, a political methodologist, and a statistician, so I will only discuss topics along ...
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Data Science Ethos Lifecycle: Interplay of Ethical Thinking and Data Science Practice
Journal of Statistics and Data Science Education, 2022 This article presents the Data Science Ethos Lifecycle, a tool for engaging responsible workflow developed by an interdisciplinary team of social scientists and data scientists working with the Academic Data Science Alliance. The tool uses a data science
Margarita Boenig-Liptsin +2 more
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Indonesia embraces the Data Science [PDF]
, 2015 The information era is the time when information is not only largely generated, but also vastly processed in order to extract and generated more information. The complex nature of modern living is represented by the various kind of data.
Situngkir, Hokky
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Citizen Science in the European Open Science Cloud [PDF]
, 2023 The European Open Science Cloud aims to make all data Findable, Accessible, Interoperable and Reusable. By far the largest community of users of the European Open Science Cloud is the science-inclined public. These users need a more curated experience of open science than subject specialists, but nevertheless make very substantial research ...
arxiv +1 more source