Details
| Original language | English |
|---|---|
| Pages (from-to) | 525-532 |
| Number of pages | 8 |
| Journal | Proceedings of the Design Society |
| Volume | 2 |
| Publication status | Published - May 2022 |
| Event | 17th International Design Conference, DESIGN 2022 - Virtual, Online, Croatia Duration: 23 May 2022 → 26 May 2022 |
Abstract
The comprehensive implementation of digital technologies in product manufacturing leads to changes in engineering processes and requires new approaches to data management. An important role belongs to the processes of organizing the collection, storage and reuse of research data obtained and used in the process of product, system or technology development, taking into account the FAIR data principles. This article describes a Research Data Management System for the organization of documentation and measurement requests in the research and development of new oxygen-free production technologies.
Keywords
- design support system, FAIR data principles, knowledge management, research data management, semantic modelling
ASJC Scopus subject areas
- Computer Science(all)
- Computer Graphics and Computer-Aided Design
- Computer Science(all)
- Computer Science Applications
- Computer Science(all)
- Software
- Mathematics(all)
- Modelling and Simulation
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In: Proceedings of the Design Society, Vol. 2, 05.2022, p. 525-532.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Knowledge Annotation within Research Data Management System for Oxygen-Free Production Technologies
AU - Mozgova, I.
AU - Altun, O.
AU - Sheveleva, T.
AU - Castro, A.
AU - Oladazimi, P.
AU - Koepler, O.
AU - Lachmayer, R.
AU - Auer, S.
N1 - Funding Information: Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project-ID 394563137 – SFB 1368
PY - 2022/5
Y1 - 2022/5
N2 - The comprehensive implementation of digital technologies in product manufacturing leads to changes in engineering processes and requires new approaches to data management. An important role belongs to the processes of organizing the collection, storage and reuse of research data obtained and used in the process of product, system or technology development, taking into account the FAIR data principles. This article describes a Research Data Management System for the organization of documentation and measurement requests in the research and development of new oxygen-free production technologies.
AB - The comprehensive implementation of digital technologies in product manufacturing leads to changes in engineering processes and requires new approaches to data management. An important role belongs to the processes of organizing the collection, storage and reuse of research data obtained and used in the process of product, system or technology development, taking into account the FAIR data principles. This article describes a Research Data Management System for the organization of documentation and measurement requests in the research and development of new oxygen-free production technologies.
KW - design support system
KW - FAIR data principles
KW - knowledge management
KW - research data management
KW - semantic modelling
UR - http://www.scopus.com/inward/record.url?scp=85131380270&partnerID=8YFLogxK
U2 - 10.1017/pds.2022.54
DO - 10.1017/pds.2022.54
M3 - Conference article
AN - SCOPUS:85131380270
VL - 2
SP - 525
EP - 532
JO - Proceedings of the Design Society
JF - Proceedings of the Design Society
T2 - 17th International Design Conference, DESIGN 2022
Y2 - 23 May 2022 through 26 May 2022
ER -