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FAIR for Digital Twins

Peters, Diana and Schindler, Sirko (2023) FAIR for Digital Twins. CEAS Space Journal. Springer. doi: 10.1007/s12567-023-00506-y. ISSN 1868-2502.

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Official URL: https://link.springer.com/article/10.1007/s12567-023-00506-y


The continuing drive towards digitization in manufacturing leads to an increasing number of digital twins for monitoring and controlling all kinds of processes. While these capture crucial data of all individual steps and allow for analysis and optimization, more often than not the underlying models are confined to individual systems or organizations. This hinders data exchange, especially across institutional borders and thus represents an important barrier for economic success. Similar challenges in the scientific community led to the emergence of the FAIR principles (Findable, Accessible, Interoperable, and Reusable) as guidelines towards a sustainable data landscape. Despite the growing presence within academia, their transfer to industry has not yet received similar attention. We argue that the existing efforts and experiences in science can be exploited to address current data management challenges in industry as well. An improved data exchange within organizations and beyond can not just lower costs, but also opens up new opportunities ranging from discovering new suppliers or partners to improving existing value chains.

Item URL in elib:https://elib.dlr.de/195953/
Document Type:Article
Title:FAIR for Digital Twins
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Peters, DianaUNSPECIFIEDhttps://orcid.org/0000-0002-5855-2989UNSPECIFIED
Schindler, SirkoUNSPECIFIEDhttps://orcid.org/0000-0002-0964-4457138790793
Date:29 May 2023
Journal or Publication Title:CEAS Space Journal
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
Keywords:FAIR Digital Twin Digitalisierung
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Digital production techniques for aerospace
Location: Jena
Institutes and Institutions:Institute of Data Science > Data Management and Enrichment
Deposited By: Peters, Diana
Deposited On:17 Jul 2023 11:23
Last Modified:19 Oct 2023 10:01

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