Authors:
Daniel Tebernum
1
and
Falk Howar
2
Affiliations:
1
Data Business, Fraunhofer ISST, Emil-Figge-Strasse 91, 44227 Dortmund, Germany
;
2
Chair for Software Engineering, TU Dortmund University, Otto-Hahn-Strasse 12, 44227 Dortmund, Germany
Keyword(s):
Data Engineering, Delete Data, Taxonomy, end of Data Life Cycle.
Abstract:
Data is an important asset and managing it effectively and appropriately can give companies a competitive advantage. Therefore, it should be assumed that data engineering considers and improves all phases of the data life cycle. However, data deletion does not seem to be prominent in theory and practice. We believe this is for two reasons. First, the added value in deleting data is not always immediately apparent or has a noticeable effect. Second, to the best of our knowledge, there is a lack of structured elaboration on the topic of data deletion that provides a more holistic perspective on the issue and makes the topic approachable to a greater audience. In this paper, an extensive systematic literature review is conducted to explore the topic of data deletion. Based on this, we present a data deletion taxonomy to organize the subject area and to further professionalize data deletion as part of data engineering. The results are expected to help both researchers and practitioners t
o address the end of the data life cycle in a more structured way.
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