Details
| Original language | English |
|---|---|
| Pages (from-to) | 1635-1644 |
| Number of pages | 10 |
| Journal | Proceedings of the Design Society |
| Volume | 3 |
| Publication status | Published - 19 Jun 2023 |
| Event | 24th International Conference on Engineering Design, ICED 2023 - Bordeaux, France Duration: 24 Jul 2023 → 28 Jul 2023 |
Abstract
Complex research problems are increasingly addressed by interdisciplinary, collaborate research projects generating large amounts of heterogeneous amounts of data. The overarching processing, analysis and availability of data are critical success factors for these research efforts. Data repositories enable long term availability of such data for the scientific community. The findability and therefore reusability strongly builds on comprehensive annotations of datasets stored in repositories. Often generic metadata schema are used to annotate data. In this publication we describe the implementation of discipline specific metadata into a data repository to provide more contextual information about data. To avoid extra workload for researchers to provide such metadata a workflow with standardised data templates for automated metadata extraction during the ingest process has been developed. The enriched metadata are in the following used in the development of two repository plugins for data comparison and data visualisation. The added values of discipline-specific annotations and derived search features to support matching and reusable data is then demonstrated by use cases of two Collaborative Research Centres (CRC 1368 and CRC 1153).
Keywords
- FAIR Data, Information management, Knowledge management, Project management, Research Data Management
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. 3, 19.06.2023, p. 1635-1644.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Enhanced findability and reusability of engineering data by contextual metadata
AU - Altun, Osman
AU - Oladazimi, Pooya
AU - Wawer, Max Leo
AU - Raumel, Selina
AU - Wurz, Marc
AU - Barienti, Khemais
AU - Nürnberger, Florian
AU - Lachmayer, Roland
AU - Mozgova, Iryna
AU - Koepler, Oliver
AU - Auer, Sören
N1 - Funding Information: Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project-ID 394563137 – SFB 1368 and by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project-ID 252662854 – SFB 1153.
PY - 2023/6/19
Y1 - 2023/6/19
N2 - Complex research problems are increasingly addressed by interdisciplinary, collaborate research projects generating large amounts of heterogeneous amounts of data. The overarching processing, analysis and availability of data are critical success factors for these research efforts. Data repositories enable long term availability of such data for the scientific community. The findability and therefore reusability strongly builds on comprehensive annotations of datasets stored in repositories. Often generic metadata schema are used to annotate data. In this publication we describe the implementation of discipline specific metadata into a data repository to provide more contextual information about data. To avoid extra workload for researchers to provide such metadata a workflow with standardised data templates for automated metadata extraction during the ingest process has been developed. The enriched metadata are in the following used in the development of two repository plugins for data comparison and data visualisation. The added values of discipline-specific annotations and derived search features to support matching and reusable data is then demonstrated by use cases of two Collaborative Research Centres (CRC 1368 and CRC 1153).
AB - Complex research problems are increasingly addressed by interdisciplinary, collaborate research projects generating large amounts of heterogeneous amounts of data. The overarching processing, analysis and availability of data are critical success factors for these research efforts. Data repositories enable long term availability of such data for the scientific community. The findability and therefore reusability strongly builds on comprehensive annotations of datasets stored in repositories. Often generic metadata schema are used to annotate data. In this publication we describe the implementation of discipline specific metadata into a data repository to provide more contextual information about data. To avoid extra workload for researchers to provide such metadata a workflow with standardised data templates for automated metadata extraction during the ingest process has been developed. The enriched metadata are in the following used in the development of two repository plugins for data comparison and data visualisation. The added values of discipline-specific annotations and derived search features to support matching and reusable data is then demonstrated by use cases of two Collaborative Research Centres (CRC 1368 and CRC 1153).
KW - FAIR Data
KW - Information management
KW - Knowledge management
KW - Project management
KW - Research Data Management
UR - http://www.scopus.com/inward/record.url?scp=85165449240&partnerID=8YFLogxK
U2 - 10.1017/pds.2023.164
DO - 10.1017/pds.2023.164
M3 - Conference article
AN - SCOPUS:85165449240
VL - 3
SP - 1635
EP - 1644
JO - Proceedings of the Design Society
JF - Proceedings of the Design Society
SN - 2732-527X
T2 - 24th International Conference on Engineering Design, ICED 2023
Y2 - 24 July 2023 through 28 July 2023
ER -