TY - GEN
T1 - Meta Standard Requirements for Harmonizing Dataspace Integration at the Edge
AU - Singh, Parwinder
AU - .., Nidhi
AU - Haq, Asim Ul
AU - Beliatis, Michail
PY - 2024/3
Y1 - 2024/3
N2 - Emerging technologies such as the Industrial Internet of Things (IIoT), hyper-connected societies, and cyber-physical systems in Industry 5.0 (I5.0) have increased data volume substantially. Conventionally, the data process and analysis are carried out within the boundaries of organizations that can be perceived as edges closer to the data sources, resulting in the generated values stuck within the boundaries of organizations. However, this data can enable a cross-organizational data pool, based on which lots of semantics context-driven services can be developed and monetized to harness the collective power of data. This is precisely what a Dataspace (DS) leveraging distributed edge-coordinated ecosystem can offer to build a value chain on shared services and reusable data across organizations, domains, systems and devices. However, various challenges need to be addressed to achieve the same, such as lack of participatory motivation, heterogeneity due to the integration interfaces at different levels of data management operations and diverse standards available to perform the same target operation. Therefore, this study proposes a model for motivating entities to open up for data integration and build a services-driven cross-boundary value-chain system through a coordinated edge-driven DS ecosystem. In addition, it introduces the modified data life cycle, emphasising the integration phase and the integration harmonization ecosystem focusing on standards-driven heterogeneity harmonization, which demands Meta-Standard development and related guidelines.
AB - Emerging technologies such as the Industrial Internet of Things (IIoT), hyper-connected societies, and cyber-physical systems in Industry 5.0 (I5.0) have increased data volume substantially. Conventionally, the data process and analysis are carried out within the boundaries of organizations that can be perceived as edges closer to the data sources, resulting in the generated values stuck within the boundaries of organizations. However, this data can enable a cross-organizational data pool, based on which lots of semantics context-driven services can be developed and monetized to harness the collective power of data. This is precisely what a Dataspace (DS) leveraging distributed edge-coordinated ecosystem can offer to build a value chain on shared services and reusable data across organizations, domains, systems and devices. However, various challenges need to be addressed to achieve the same, such as lack of participatory motivation, heterogeneity due to the integration interfaces at different levels of data management operations and diverse standards available to perform the same target operation. Therefore, this study proposes a model for motivating entities to open up for data integration and build a services-driven cross-boundary value-chain system through a coordinated edge-driven DS ecosystem. In addition, it introduces the modified data life cycle, emphasising the integration phase and the integration harmonization ecosystem focusing on standards-driven heterogeneity harmonization, which demands Meta-Standard development and related guidelines.
KW - Dataspace
KW - Edge
KW - Harmonization
KW - Integration
KW - Platform
KW - Standards
UR - http://www.scopus.com/inward/record.url?scp=85187796607&partnerID=8YFLogxK
U2 - 10.1109/CSCN60443.2023.10453211
DO - 10.1109/CSCN60443.2023.10453211
M3 - Article in proceedings
AN - SCOPUS:85187796607
SN - 979-8-3503-9539-6
T3 - IEEE Conference on Standards for Communications and Networking (CSCN)
SP - 130
EP - 135
BT - 2023 IEEE Conference on Standards for Communications and Networking (CSCN)
PB - IEEE
T2 - 2023 IEEE Conference on Standards for Communications and Networking, CSCN 2023
Y2 - 6 November 2023 through 8 November 2023
ER -