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From Data Science to Materials Data Science
In the previous chapter, we saw that data science has ancient roots in many disciplines. For example, it is closely related to statistical theory and...
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Towards Actionable Data Science: Domain Experts as End-Users of Data Science Systems
As a wider range of organizations explore using data science systems, data science research has given growing attention to the role of domain...
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Responsible Data Science
Data science has an increasing responsibility in society, which means it needs to consider more than just technical skills. Data scientists must...
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Data Science
It is notoriously difficult to define what data science is - even though a lot of people are talking/writing about it. Also, it...
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Data Science Thinking
This chapter highlights the cognitive aspect of data science. It presents a variety of modes of thinking, which are associated with the different...
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Data, measurement and empirical methods in the science of science
The advent of large-scale datasets that trace the workings of science has encouraged researchers from many different disciplinary backgrounds to turn...
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Embracing data science in catalysis research
Accelerating catalyst discovery and development is of paramount importance in addressing the global energy, sustainability and healthcare demands....
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Spatial Data Science
Spatial data science is a multi-disciplinary field that applies scientific methods to acquire, store, and manage spatial data, as well as to retrieve...
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Data Science: Key Directions, Problems, and Perspectives
Abstract—This article outlines the boundaries of data science in relation to artificial intelligence. It also describes the multidimensional...
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SciSciNet: A large-scale open data lake for the science of science research
The science of science has attracted growing research interests, partly due to the increasing availability of large-scale datasets capturing the...
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Introduction to Data Science
This chapter introduces you to the basic principles of the data science workflow. These concepts will help you prepare your data as necessary to be...
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Data Science Process
With lucrative and millions of job offerings in data science, there are many who aspire to be a data scientist. With the proper learning path, it is...
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Inspiration4 data access through the NASA Open Science Data Repository
The increasing accessibility of commercial and private space travel necessitates a profound understanding of its impact on human health. The NASA...
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What is Data Science?
Although many attempts have been made to define data science, such a definition has not yet been reached. One reason for the difficulty to reach a...
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The Data Science Workflow
The examination of data science as aWorkflow workflowData science workflow is yet another facet of data science. In this chapter we elaborate on the...
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Data Science (mit Jupyter)
Data Science bezeichnet die Gewinnung von Wissen aus Daten. Der Begriff kam zu Beginn des 21. Jahrhunderts auf und beschreibt ein neuartiges Vorgehen...
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Data science in healthcare: techniques, challenges and opportunities
PurposeIntegrating data science techniques in healthcare has emerged as a transformative force and holds immense potential for improving patient...
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Realism, Science, Statistics, and Data Science
The twenty-first century has ushered in an era of big data, in which various types of data are accumulated, analyzed, and used. Despite the current...
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Applications of Data Science
Data science has a wide range of applications. Today, where we already have entered an era of information, all walks of life right from small...
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Introduction to Data Science
Data science is a new interdisciplinary field that has attracted a lot of interest from the media in recent years, where it has been presented as a...