Requirements Engineering Approach for Data Ownership Concepts

In recent years, the growing importance of data ownership has attracted significant attention, reflecting not only its pivotal role in the evolving data-driven environment but also the complexity of addressing it across diverse contexts. The necessity of developing effective data ownership concepts for data platforms is indisputable; nevertheless, the process is inherently complex and demands a comprehensive examination of the requirements surrounding this multifaceted issue. This paper puts forward a novel approach to the development of data ownership concepts, which draws on principles from requirements engineering (RE). The efficacy of this approach is evaluated through in-depth case-studies focusing on three distinct contexts: the development of a data ownership concept within the realm of smart meters, smart livestock farming, and data spaces for energy. Through the application of RE principles, this work strives to provide a structured and effective approach for addressing the nuanced challenges associated with data ownership in the process of developing data ownership concepts for data-driven platforms and applications.

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Publication Details

Journal
Electronics
Published
2025-03-25
DOI
https://doi.org/10.3390/electronics14071288
Citations
1
Primary Topic
Data Quality and Management
Type
article
Field-Weighted Citation Impact
2.11
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Requirements Engineering Approach for Data Ownership Concepts

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article

Requirements Engineering Approach for Data Ownership Concepts

Cedrik Theesen, Jad Asswad, Julia Köhlke, Viktor Dmitriyev, Maria Edith Elizondo Guerrero
article en
1 citations

Abstract

In recent years, the growing importance of data ownership has attracted significant attention, reflecting not only its pivotal role in the evolving data-driven environment but also the complexity of addressing it across diverse contexts. The necessity of developing effective data ownership concepts for data platforms is indisputable; nevertheless, the process is inherently complex and demands a comprehensive examination of the requirements surrounding this multifaceted issue. This paper puts forward a novel approach to the development of data ownership concepts, which draws on principles from requirements engineering (RE). The efficacy of this approach is evaluated through in-depth case-studies focusing on three distinct contexts: the development of a data ownership concept within the realm of smart meters, smart livestock farming, and data spaces for energy. Through the application of RE principles, this work strives to provide a structured and effective approach for addressing the nuanced challenges associated with data ownership in the process of developing data ownership concepts for data-driven platforms and applications.

ElectronicsVol. 14(7)
Oldenburger Institut für Informatik (DE)
Openalex Percentile: Top 15%
Data Quality and Management
2.11
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