Architecture Design Options for Federated Data Spaces
Files
Date
2023-01-03
Contributor
Advisor
Department
Instructor
Depositor
Speaker
Researcher
Consultant
Interviewer
Narrator
Transcriber
Annotator
Journal Title
Journal ISSN
Volume Title
Publisher
Volume
Number/Issue
Starting Page
3643
Ending Page
Alternative Title
Abstract
The massive growth of data and the increasing potential of data analytics in industrial production fuel the emergence of data spaces and corresponding platforms that realize data ecosystems and enable data-driven sustainability applications. To leverage their benefits of demand-driven and scalable data integration, the stakeholders of emerging data space initiatives must make informed decisions about their data space support platforms (DSSPs). This study proposes a conceptual framework based on federated architectures and by considering existing endeavors of data infrastructures. Based on existing literature about data ecosystem resources and an explorative single case study of an industrial data space with sustainability-focused applications, we elaborate on the key design options of data, services, and computing infrastructures. The resulting conceptual framework guides design decisions for DSSPs. The framework captures not only the resources involved but also the operational concepts of federated services and shared services to introduce governance mechanisms and sustainability policies.
Description
Keywords
Data Spaces for Sustainability and Resilience in Manufacturing, data infrastructure, data sharing, data spaces, data space support platform, federated architecture
Citation
Extent
10
Format
Geographic Location
Time Period
Related To
Proceedings of the 56th Hawaii International Conference on System Sciences
Related To (URI)
Table of Contents
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights Holder
Local Contexts
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.