Already grown-up or still in puberty? A bibliometric review of 16 years of data governance research

Abstract

The amount of data and the speed at which it increases grows rapidly. Companies and public institutions try to manage this increasing flood of data effectively and in a manner that adds value. Besides, the companies and public institutions also join corporate networks or platforms to increase their value by sharing their data. The evolution of traditional business intelligence into business analytics, including real-time analysis, increases the high demand for qualitative data. Data governance tries to create a framework to manage these issues. This interdisciplinary research field has now been in existence for nearly two decades. With this contribution, we attempt to provide the research field with a blueprint. This paper aims to explore the past to understand the present and shape the future of data governance. We give an overview of how the research field changed from 2005 to 2020, commenting on its development and pointing out future research paths based on our findings. We, therefore, conducted a bibliometric analysis to describe the research field’s bibliometric and intellectual structure. The findings show that for years the research field concentrated on a few topics, which currently undergoes change and has led to an opening up of the research field. Finally, the results are discussed and future research strands are highlighted

Using Artificial Intelligence for Drug Discovery: A Bibliometric Study and Future Research Agenda

“…A broad variety of different tools exist that can help us analyze bibliometric data. For our bibliometric analysis, we followed [69] and used two different tools in combination: VOSviewer and Bibliometrix/Biblioshiny.…”

“…We used Bibliometrix and Biblioshiny since these enable many different types and forms of analysis [124]. Although Biblioshiny offers many different functionalities for the statistical analysis of bibliometric data, we decided to complement it with VOSviewer since, as outlined above, this tool is highly suitable for visualization purposes [69].…”

“…Following recommendation of [22], we decided to rely on only one single database. The reason this decision is that every database has its own format of bibliometric data effor combine different formats from different databases, and this can easily lead to errors Although many bibliometric databases do exist, Scopus and the Web of Science (WoS among the most relevant ones [69,73]. Compared to the WoS, however, Scopus co more scientific journals [21].…”

Artificial Intelligence for Cancer Detection—A Bibliometric Analysis and Avenues for Future Research

“…The first step was to collect the bibliometric data for our analysis. For the collection of bibliometric data, several databases exist, nowadays, with Scopus and Web of Science being among the most popular [47,48]. These databases differ in terms of their features and functionalities [49].…”

“…We chose Scopus as the scientific database for our data collection. Scopus is a well-known database that has been used by several other bibliometric studies in the past [21,47,48,[50][51][52]. Additionally, Scopus covers more journals than Web of Science and was therefore found to be suitable to identify as much research as possible [26].…”