“5 G” Research on System Design of Data Science and Big Data Technology Talent Training in Colleges and Universities

2021 ◽  
pp. 155-164
Author(s):  
Xiaoying Zhang ◽  
Xin Lu
Keyword(s):  
Big Data ◽  
System Design ◽  
Data Science ◽  
Colleges And Universities ◽  
Technology Talent ◽  
Big Data Technology

scholarly journals Learning health systems need to bridge the ‘two cultures’ of clinical informatics and data science

2018 ◽  
Vol 25 (2) ◽  
pp. 126-131 ◽  
Author(s):  
Philip J. Scott ◽  
Rachel Dunscombe ◽  
David Evans ◽  
Mome Mukherjee ◽  
Jeremy C. Wyatt
Keyword(s):  
Big Data ◽  
System Design ◽  
Data Science ◽  
Digital Health ◽  
Evidence Base ◽  
Clinical Informatics ◽  
Two Cultures ◽  
Design And Implementation ◽  
The Two Cultures ◽  
The Uk

BackgroundUK health research policy and plans for population health management are predicated upon transformative knowledge discovery from operational ‘Big Data’. Learning health systems require not only data, but feedback loops of knowledge into changed practice. This depends on knowledge management and application, which in turn depends upon effective system design and implementation. Biomedical informatics is the interdisciplinary field at the intersection of health science, social science and information science and technology that spans this entire scope.IssuesIn the UK, the separate worlds of health data science (bioinformatics, ‘Big Data’) and effective healthcare system design and implementation (clinical informatics, ‘Digital Health’) have operated as ‘two cultures’. Much National Health Service and social care data is of very poor quality. Substantial research funding is wasted on ‘data cleansing’ or by producing very weak evidence. There is not yet a sufficiently powerful professional community or evidence base of best practice to influence the practitioner community or the digital health industry.RecommendationThe UK needs increased clinical informatics research and education capacity and capability at much greater scale and ambition to be able to meet policy expectations, address the fundamental gaps in the discipline’s evidence base and mitigate the absence of regulation. Independent evaluation of digital health interventions should be the norm, not the exception.ConclusionsPolicy makers and research funders need to acknowledge the existing gap between the ‘two cultures’ and recognise that the full social and economic benefits of digital health and data science can only be realised by accepting the interdisciplinary nature of biomedical informatics and supporting a significant expansion of clinical informatics capacity and capability.

scholarly journals Research on the Role of Big Data Technology in the Reform of English Teaching in Universities

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Xiaoge Jia
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Research Method ◽  
Colleges And Universities ◽  
Teaching Activities ◽  
English Teaching ◽  
Comprehensive Development ◽  
Technology And Teaching ◽  
Big Data Technology

This paper provides an in-depth understanding and analysis of the reform of English teaching in colleges and universities by analyzing the role of big data technology for the reform through in-depth research and analysis. Based on the background of the era of education informatization, this study explores the transformative value of the integration of information technology and teaching activities and elaborates the relevant significance at the theoretical and practical levels. Based on this, the research method of this study is established. The realm of integration of information technology and teaching activities and its transformative value is taken as the focus of the study. The integration of information technology and teaching activities means that it is not only a simple superposition between information technology and teaching but also a process to explore the role and influence of information technology into teaching activities by deeply exploring the inner connection between the two, to complete the integration of information technology and teaching activities, and finally to realize the comprehensive development of student’s personality.

scholarly journals Analysis on the Training Strategies of University Library Service Talents under the Concept of "Three-all Education" in the New Era

2021 ◽  
Vol 2 (5) ◽  
Author(s):  
Yingli Lu
Keyword(s):  
Big Data ◽  
Colleges And Universities ◽  
Practical Significance ◽  
Staff Education ◽  
Library Service ◽  
New Era ◽  
Service Personnel ◽  
Educational Concept ◽  
College Library ◽  
Big Data Technology

Embracing the challenge and mission of the new era, colleges and universities, as an important battle filed for cultivation of talents, should be guided by the educational concept of "Three-all Education", to train and transport outstanding talents for the country. Based on the concept of "Three-all Education" and centering on the innovative ability of college library service personnel training, this paper utilizes big data technology and means to realize the idea of "all-process education, all-staff education and all-round education", and explores the cultivation strategies for college library service personnel, which not only meets the urgent needs of college reform and development. It is also of great practical significance to cultivate young talents in the new era.

scholarly journals An overview of big data and data science education at South African universities

2016 ◽  
Vol 35 (1) ◽  
Author(s):  
Eduan Kotzé
Keyword(s):  
Big Data ◽  
South African ◽  
Data Science ◽  
Rapid Development ◽  
Database Systems ◽  
Academic Programs ◽  
Data Sets ◽  
Theoretical Understanding ◽  
South African Universities ◽  
Big Data Technology

Man and machine are generating data electronically at an astronomical speed and in such a way that society is experiencing cognitive challenges to analyse this data meaningfully. Big data firms, such as Google and Facebook, identified this problem several years ago and are continuously developing new technologies or improving existing technologies in order to facilitate the cognitive analysis process of these large data sets. The purpose of this article is to contribute to our theoretical understanding of the role that big data might play in creating new training opportunities for South African universities. The article investigates emerging literature on the characteristics and main components of big data, together with the Hadoop application stack as an example of big data technology. Due to the rapid development of big data technology, a paradigm shift of human resources is required to analyse these data sets; therefore, this study examines the state of big data teaching at South African universities. This article also provides an overview of possible big data sources for South African universities, as well as relevant big data skills that data scientists need. The study also investigates existing academic programs in South Africa, where the focus is on teaching advanced database systems. The study found that big data and data science topics are introduced to students on a postgraduate level, but that the scope is very limited. This article contributes by proposing important theoretical topics that could be introduced as part of the existing academic programs. More research is required, however, to expand these programs in order to meet the growing demand for data scientists with big data skills.

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