Peters, Diana und 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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Offizielle URL: https://link.springer.com/article/10.1007/s12567-023-00506-y
Kurzfassung
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.
elib-URL des Eintrags: | https://elib.dlr.de/195953/ | ||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||
Titel: | FAIR for Digital Twins | ||||||||||||
Autoren: |
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Datum: | 29 Mai 2023 | ||||||||||||
Erschienen in: | CEAS Space Journal | ||||||||||||
Referierte Publikation: | Ja | ||||||||||||
Open Access: | Ja | ||||||||||||
Gold Open Access: | Nein | ||||||||||||
In SCOPUS: | Ja | ||||||||||||
In ISI Web of Science: | Ja | ||||||||||||
DOI: | 10.1007/s12567-023-00506-y | ||||||||||||
Verlag: | Springer | ||||||||||||
ISSN: | 1868-2502 | ||||||||||||
Status: | veröffentlicht | ||||||||||||
Stichwörter: | FAIR Digital Twin Digitalisierung | ||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||
HGF - Programmthema: | Technik für Raumfahrtsysteme | ||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||
DLR - Forschungsgebiet: | R SY - Technik für Raumfahrtsysteme | ||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Digitale Produktionstechniken für die Raumfahrt | ||||||||||||
Standort: | Jena | ||||||||||||
Institute & Einrichtungen: | Institut für Datenwissenschaften > Datenmanagement und -aufbereitung | ||||||||||||
Hinterlegt von: | Peters, Diana | ||||||||||||
Hinterlegt am: | 17 Jul 2023 11:23 | ||||||||||||
Letzte Änderung: | 19 Okt 2023 10:01 |
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