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<p>The availability of high-quality data across company boundaries is a fundamental prerequisite for the development of fair and reliable AI-based systems. Existing data ecosystems, however, primarily focus on exchange between companies, while end users, as data generators, largely remain passive actors. To enable fair data sovereignty for end users, new approaches are therefore required. This paper examines how governance mechanisms must be designed in order to combine data sovereignty, data availability, transparency, and traceability, and thus ensure responsible systems from the perspective of Corporate Digital Responsibility (CDR). Based on conceptual considerations regarding decentralized data storage and an analysis of use cases in the field of Smart Living, a governance framework is developed. The framework structures central roles, processes, and mechanisms along the data lifecycle and enables a systematic assessment with regard to feasibility, effectiveness, and contribution to data availability. In addition, practical approaches are presented for implementing data sovereignty beyond the mere minimum regulatory requirements of the GDPR. The paper thereby contributes to CDR for data ecosystems as well as to the design of fair data acquisition in AI contexts.</p>

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Vom Datenmonopol zur Datensouveränität – Selbstbestimmte Datenflüsse als Treiber digitaler Verantwortung

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月20日

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  • Léon Dankert,
  • Tobias Dreesbach,
  • Dennis Maecker,
  • Aaron Witzki,
  • K. Valerie Carl,
  • Oliver Thomas

摘要

The availability of high-quality data across company boundaries is a fundamental prerequisite for the development of fair and reliable AI-based systems. Existing data ecosystems, however, primarily focus on exchange between companies, while end users, as data generators, largely remain passive actors. To enable fair data sovereignty for end users, new approaches are therefore required. This paper examines how governance mechanisms must be designed in order to combine data sovereignty, data availability, transparency, and traceability, and thus ensure responsible systems from the perspective of Corporate Digital Responsibility (CDR). Based on conceptual considerations regarding decentralized data storage and an analysis of use cases in the field of Smart Living, a governance framework is developed. The framework structures central roles, processes, and mechanisms along the data lifecycle and enables a systematic assessment with regard to feasibility, effectiveness, and contribution to data availability. In addition, practical approaches are presented for implementing data sovereignty beyond the mere minimum regulatory requirements of the GDPR. The paper thereby contributes to CDR for data ecosystems as well as to the design of fair data acquisition in AI contexts.