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Knowledge areas, themes and future research on open data: A co-word analysis

机译：知识领域，主题和未来的开放数据研究：共同词分析

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This paper aims to contribute to a better understanding of the literature on open data in three ways. The first is to develop a descriptive analysis of journals and authors to identify the knowledge areas in which open data are applied. The second is to analyse the conceptual structure of the field using a bibliometric technique. The co-word analysis enabled us to create a map of the main themes that have been studied, identifying their importance and relevance. These themes were analysed and grouped. The third is to propose future research trends. According to our results, the main knowledge areas are Engineering, Health, Public Administration, Management and Education. The main themes are big data, open-linked data and data reuse. Finally, several research questions are proposed according to knowledge area and theme.
机译：本文旨在有助于以三种方式更好地了解开放数据的文献。首先是开发对期刊和作者的描述性分析，以确定应用了开放数据的知识区域。第二种是使用派对测量技术分析场的概念结构。 CO-Word分析使我们能够创建研究的主要主题的地图，确定了他们的重要性和相关性。分析并分组这些主题。第三是提出未来的研究趋势。根据我们的结果，主要知识区是工程，健康，公共行政，管理和教育。主题是大数据，开放式数据和数据重用。最后，根据知识区域和主题提出了几个研究问题。

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