• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Artikel
  4. Knowledge-Driven Data Ecosystems Toward Data Transparency
 
  • Details
  • Full
Options
2022
Journal Article
Title

Knowledge-Driven Data Ecosystems Toward Data Transparency

Abstract
A data ecosystem (DE) offers a keystone-player or alliance-driven infrastructure that enables the interaction of different stakeholders and the resolution of interoperability issues among shared data. However, despite years of research in data governance and management, trustability is still affected by the absence of transparent and traceable data-driven pipelines. In this work, we focus on requirements and challenges that DEs face when ensuring data transparency. Requirements are derived from the data and organizational management, as well as from broader legal and ethical considerations. We propose a novel knowledge-driven DE architecture, providing the pillars for satisfying the analyzed requirements. We illustrate the potential of our proposal in a real-world scenario. Last, we discuss and rate the potential of the proposed architecture in the fulfillmentof these requirements.
Author(s)
Geisler, Sandra  
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Vidal, Maria-Esther
Cappiello, Cinzia
Farias Lóscio, Bernadette
Gal, Avigdor
Jarke, Matthias  
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Lenzerini, Maurizio
Missier, Paolo
Otto, Boris  
Fraunhofer-Institut für Software- und Systemtechnik ISST  
Paja, Elda
Pernici, Barbara
Rehof, Jakob  
Fraunhofer-Institut für Software- und Systemtechnik ISST  
Journal
Journal of data and information quality  
Open Access
DOI
10.1145/3467022
Additional link
Full text
Language
English
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Fraunhofer-Institut für Software- und Systemtechnik ISST  
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024