Data governance in der wissenschaftlichen Literatur: Eine Begriffsklärung anhand einer Text-Mining-basierten Literaturrecherche

Data governance: A definition of terms using a text-mining-based literature review

Alevtina Krotova and Jan Eppelsheimer

IW-Trends – Vierteljahresschrift zur empirischen Wirtschaftsforschung, 2019, vol. 46, issue 3, 55-71

Abstract: Data governance forms the basis of efficient data management within companies and across company boundaries. In practice, however, there is no clear and uniform definition of data governance and its components. In order to provide a comprehensive overview of data governance, to reveal previous research trends and to uncover potential research needs, a text-mining-based systematic literature review was conducted. With this method the authors established that the place occupied by data governance in scientific debate and literature has been constantly growing, especially since 2012. They identified a total of nine clusters, each representing an existing research priority. The analysis revealed that the main topic of data governance research is its significance for digital technologies. Further aspects of data governance addressed in the literature include use of data as an economic asset, data management, data quality, data protection, compliance and organisation of data in networks. Data governance already plays a more important role in the health sector than in other industries. By effectively coordinating the requirements of business practice and scientific problem analysis, data governance can be better investigated, developed and implemented.

Keywords: Data Economy; Data Governance; Clusteranalyse (search for similar items in EconPapers)
JEL-codes: L14 L15 O30 (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:iwktre:209531

DOI: 10.2373/1864-810X.19-03-04

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