Toward Cross-Company Value Generation from Data: Design Principles for Developing and Operating Data Sharing Communities

Lefebvre, Hippolyte; Flourac, Gabin; Krasikov, Pavel; Legner, Christine

doi:10.1007/978-3-031-32808-4_3

Cited by 3 publications

(1 citation statement)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Despite reservations about data sharing, recent research indicates that the value of data increases when it is shared and reused, and thus data sharing is increasingly recognized as an important driver in the digital economy [80]. A major contribution facilitating data exchange and usage is the Findable, accessible, interoperable, and reusable (FAIR) principles [81], according to which data should be FAIR throughout the data lifecycle, which are intended to serve as a guide for those seeking to improve the capacity of computational systems to find, access, interoperate, and reuse data with none or minimal human intervention [82].…”

Section: Barriers To Interoperability and Pathways To Solutionsmentioning

confidence: 99%

Digital Twins' Maturity: The Need for Interoperability

Klar,

Arvidsson,

Angelakis

2024

IEEE Systems Journal

View full text Add to dashboard Cite

Digital twins have gained tremendous momentum since their conceptualization over 20 years ago, as more and more domains discover their value in driving efficiencies and reducing costs, while enabling technologies continue to advance. Originally aimed at product optimization and intelligent manufacturing, the range of applications for digital twins now spans entire complex, often highly interconnected systems such as ports, cities, and supply chains. Despite the increasing demand for sophisticated digital twinning solutions across all domains and scopes, their development is often still constrained by differing definitions, different understandings of their functional scope and design, and a lack of concrete methodology toward implementing a comprehensive digital twinning solution. Although there are already papers that evaluate the capabilities of existing digital twinning solutions on the basis of maturity levels, these usually consider the object to be twinned in isolation and are often domain-specific. With this article we address exactly this gap discussing how interoperability of digital twins can break physical boundaries of an isolated system, enabling system of systems joint optimization. We therefore consider interoperable digital twins to be the most mature twinning platforms, thus, we discuss in detail six digital twin maturity levels, departing from the interrelated contexts of ports, cities, and supply chains. Examples drawn from these domains demonstrate the need for interoperability toward optimizing processes and systems in realistic contexts, rather than in assumed isolation.

show abstract

Section: Barriers To Interoperability and Pathways To Solutionsmentioning

confidence: 99%