Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Product Lifecycle Management. PLM in the Age of Model-Based Engineering in Industry |
| Herausgeber/-innen | Fernando Mas, Carmelo Del Valle, Benoît Eynard, Louis Rivest, Abdelaziz Bouras |
| Seiten | 140-150 |
| Seitenumfang | 11 |
| Publikationsstatus | Veröffentlicht - 19 Nov. 2025 |
Publikationsreihe
| Name | IFIP Advances in Information and Communication Technology |
|---|---|
| Band | 773 IFIPAICT |
| ISSN (Print) | 1868-4238 |
| ISSN (elektronisch) | 1868-422X |
Abstract
ASJC Scopus Sachgebiete
- Entscheidungswissenschaften (insg.)
- Informationssysteme und -management
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Product Lifecycle Management. PLM in the Age of Model-Based Engineering in Industry. Hrsg. / Fernando Mas; Carmelo Del Valle; Benoît Eynard; Louis Rivest; Abdelaziz Bouras. 2025. S. 140-150 (IFIP Advances in Information and Communication Technology; Band 773 IFIPAICT).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Beitrag in Buch/Sammelwerk › Forschung › Peer-Review
}
TY - CHAP
T1 - Getting Things Done: How to Make Simulation Data FAIR and Ready to Reuse
AU - Müller, Laura
AU - Hinterthaner, Marc
AU - Ortlieb, Eduard
AU - Mohnfeld, Norman
AU - Schultz, Andreas
AU - Uhe, Johanna
AU - Koepler, Oliver
AU - Mozgova, Iryna
N1 - Publisher Copyright: © IFIP International Federation for Information Processing 2026.
PY - 2025/11/19
Y1 - 2025/11/19
N2 - Data management is an indispensable part for Product Lifecycle Management (PLM) ensuring transparent information throughout the product lifecycle. Simulations are important for PLM because they support the entire product lifecycle with important insights. The challenges for the data management of simulations are so restricting that the reuse of simulation data is rarely realised. Problems arise when dealing with large data volumes or identifying which metadata is important to analyse and reuse a simulation. Further challenges arise if this data is prepared in accordance with Research Data Management (RDM). This paper clarifies the obstacles and requirements to enable reuse of simulation data. A use case presents the management of simulation data in a RDM-system used in a collaborative research project, considering the derived requirements.
AB - Data management is an indispensable part for Product Lifecycle Management (PLM) ensuring transparent information throughout the product lifecycle. Simulations are important for PLM because they support the entire product lifecycle with important insights. The challenges for the data management of simulations are so restricting that the reuse of simulation data is rarely realised. Problems arise when dealing with large data volumes or identifying which metadata is important to analyse and reuse a simulation. Further challenges arise if this data is prepared in accordance with Research Data Management (RDM). This paper clarifies the obstacles and requirements to enable reuse of simulation data. A use case presents the management of simulation data in a RDM-system used in a collaborative research project, considering the derived requirements.
KW - Requirement Analysis
KW - Research Data Management
KW - Simulation Data
UR - http://www.scopus.com/inward/record.url?scp=105023315814&partnerID=8YFLogxK
U2 - 10.1007/978-3-032-09704-0_14
DO - 10.1007/978-3-032-09704-0_14
M3 - Contribution to book/anthology
SN - 9783032097033
T3 - IFIP Advances in Information and Communication Technology
SP - 140
EP - 150
BT - Product Lifecycle Management. PLM in the Age of Model-Based Engineering in Industry
A2 - Mas, Fernando
A2 - Del Valle, Carmelo
A2 - Eynard, Benoît
A2 - Rivest, Louis
A2 - Bouras, Abdelaziz
ER -