Data Governance: A systematic literature analysis and ontology
Jolien Ubacht;Joep Crompvoets;Csaba Csáki;Lieselot Danneels;Marijn Janssen;Marius Rohde Johannessen;Thomas Lampoltshammer;Habin Lee;Ida Lindgren;Sara Hofmann;Peter Parycek;Gabriela Viale Pereira;Gerhard Schwabe;Iryna Susha;Efthimios Tambouris;Anneke Zuiderwijk (Hrsg). Proceedings of Ongoing Research, Practitioners, Posters, Workshops, and Projects of the International Conference EGOV-CeDEM-ePart 2024. Ghent University and KU Leuven, Ghent/Leuven, Belgium, September 1-5, 2024. Aachen: CEUR/RWTH 2024 S. 1 - 12
Erscheinungsjahr: 2024
ISBN/ISSN: 1613-0073
Publikationstyp: Diverses (Konferenzbeitrag)
Sprache: Englisch
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Inhaltszusammenfassung
This paper explores the emerging field of data governance, which involves managing data through roles, rules, and policies. It aims to systematize diverse concepts and viewpoints in data governance by analyzing academic and grey literature. Through literature analysis, we examine the relationships between key concepts of data governance and major components that implement these concepts. This way, a nuanced understanding of the collective contribution of these components to realize data gover...This paper explores the emerging field of data governance, which involves managing data through roles, rules, and policies. It aims to systematize diverse concepts and viewpoints in data governance by analyzing academic and grey literature. Through literature analysis, we examine the relationships between key concepts of data governance and major components that implement these concepts. This way, a nuanced understanding of the collective contribution of these components to realize data governance is generated. The research culminates in a data governance concept matrix, and an ontology to visualize the concepts’ relationships.» weiterlesen» einklappen
