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

机译:开放数据的知识领域,主题和未来研究:共词分析

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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:本文旨在通过三种方式促进对开放数据文献的更好理解。首先是对期刊和作者进行描述性分析,以识别应用开放数据的知识领域。第二是使用文献计量技术分析该领域的概念结构。共词分析使我们能够创建已研究的主要主题的地图,从而确定其重要性和相关性。对这些主题进行了分析和分组。第三是提出未来的研究趋势。根据我们的结果,主要知识领域是工程,卫生,公共管理,管理和教育。主要主题是大数据,开放链接的数据和数据重用。最后,根据知识领域和主题提出了几个研究问题。

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