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Data science at SoBigData: the European research infrastructure for social mining and big data analytics

机译:SoBigData的数据科学:用于社交挖掘和大数据分析的欧洲研究基础架构

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摘要

Most people have become "big data" producers in their daily life. Our desires, opinions, sentiments, social links as well as our mobile phone calls and GPS track leave traces of our behaviours. To transform these data into knowledge, value is a complex task of data science. This paper shows how the SoBigData Research Infrastructure supports data science towards the new frontiers of big data exploitation. Our research infrastructure serves a large Community of social sensing and social mining researchers and it reduces the gap between existing research centres present at European level. SoBigData integrates resources and creates an infrastructure where sharing data and methods among text miners, visual analytics researchers, socio-economic scientists, network scientists, political scientists, humanities researchers can indeed occur. The main con-cepts related to SoBigData Research Infrastructure are presented. These concepts support Virtual and transnational (on-site) access to the resources. Creating and supporting research communities are considered to be of vital importance for the suc-cess of our research infrastructure, as well as contributing to train the new generation of data scientists. Furthermore, this paper introduces the concept of exploratory and shows their role in the promotion of the use of our research infrastructure. The exploratories presented in this paper represent also a set of real applications in the context of social mining. Finally, a Special attention is given to the legal and ethical aspects. Everything in SoBigData is supervised by an ethical and legal framework.
机译:大多数人在日常生活中已成为“大数据”生产者。我们的欲望,见解,情感,社交联系以及我们的手机通话和GPS跟踪记录了我们的行为。为了将这些数据转化为知识,价值是数据科学的一项复杂任务。本文展示了SoBigData研究基础架构如何支持数据科学迈向大数据开发的新领域。我们的研究基础设施为社会感知和社会采矿研究人员的大型社区提供服务,并缩小了欧洲现有现有研究中心之间的差距。 SoBigData整合了资源并创建了一个基础架构,在该基础架构中,文本挖掘者,视觉分析研究人员,社会经济科学家,网络科学家,政治科学家,人文研究人员之间的共享数据和方法的确可以实现。提出了与SoBigData研究基础架构有关的主要概念。这些概念支持对资源的虚拟和跨国(现场)访问。创建和支持研究社区对我们的研究基础架构的成功以及对培训新一代数据科学家的贡献至关重要。此外,本文介绍了探索性概念,并展示了它们在促进我们的研究基础结构使用中的作用。本文中提出的探索性方案也代表了社会采矿领域中的一组实际应用。最后,特别注意法律和道德方面。 SoBigData中的所有内容均受到道德和法律框架的监督。

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