Unraveling Privacy Concerns in Complex Data Ecosystems with Architectural Thinking

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Authors

  • Fabian Burmeister
  • Christian Kurtz
  • Pascal Vogel
  • Paul Drews
  • Ingrid Schirmer
Privacy violations increasingly result from personal-data processing by a convoluted set of actors that collaborate in complex data ecosystems. These data ecosystems comprise numerous socio-technical elements and relations, and their opacity often obscures the manifold reasons for privacy violations. Therefore, researchers and practitioners call for systematic approaches that allow for decomposing data ecosystems in order to receive transparency about the opaque data flows and processing mechanisms across actors. This paper positions architectural thinking as a reasonable means for this need. By collecting key privacy concerns of business and regulatory stakeholders and developing a corresponding data ecosystem architecture meta-model, we provide first steps for extending the scope of architectural thinking to the privacy context. Our results are based on a mixed methods approach, which triangulates data received from a multiple case study of privacy scandals and from 14 expert interviews.
OriginalspracheEnglisch
TitelICIS 2021 Proceedings : Building sustainability and resilience with IS: A call for action
Anzahl der Seiten17
VerlagAssociation for Information Systems
Erscheinungsdatum2021
Aufsatznummer2692
ISBN (elektronisch)978-1-7336325-9-1
PublikationsstatusErschienen - 2021
Veranstaltung42nd International Conference on Information Systems - ICIS 2021 TREOs: Building Sustainability and Resilience with IS: A Call for Action - digital, Austin, USA / Vereinigte Staaten
Dauer: 12.12.202115.12.2021
Konferenznummer: 42
https://icis2021.aisconferences.org/

Zuletzt angesehen

Publikationen

  1. Influence of Mg content in Al alloys on processing characteristics and dynamically recrystallized microstructure of friction surfacing deposits
  2. A Two-Stage Augmented Extended Kalman Filter as an Observer for Sensorless Valve Control in Camless Internal Combustion Engines
  3. Stimulating Computing
  4. Comparison of three methods of length compensation in a parallel kinematic and their equivalence conditions
  5. Introduction
  6. Can a Revision of the Universal Service Scope Result in Substantive Change?
  7. Modeling and simulation of the heterogenous material behavior in thermal-sprayed coatings
  8. Sliding Mode Control of an Inductive Power Transmission System with Maximum Efficiency
  9. Hybrid modelling by machine learning corrections of analytical model predictions towards high-fidelity simulation solutions
  10. Estimated substitution elasticities of a nested CES production function approach for Germany
  11. Short-arc measurement and fitting based on the bidirectional prediction of observed data
  12. Graph-Based Early-Fusion for Flood Detection
  13. Adaptive Notch Filter in Wavelet Packet Trees
  14. An introduction to sliding mode control for interdisciplinary education
  15. Short and long-term dominance of negative information in shaping public energy perceptions
  16. Deconstructing and reconstructing diversity in client-provider-relationships of social work
  17. Analysis of the relevance of models, influencing factors and the point in time of the forecast on the prediction quality in order-related delivery time determination using machine learning
  18. A Framework for Applying Natural Language Processing in Digital Health Interventions
  19. Vielfalt des Alterns - Differenz oder Integration?
  20. Changing the decision context to enable social learning for climate adaptation
  21. On the Equivalence of Transmission Problems in Nonoverlapping Domain Decomposition Methods for Quasilinear PDEs