The lab Linked Scientific Knowledge's (LSK) main objective is to investigate, facilitate and build Research Data Management (RDM) in different research areas such as Chemistry and Engineering. The main objective is to make Research Data FAIR that stands for:
- Findable
- Accessible
- Interoperable
- Reusable
The Lab activities are:
- Research and Develop Semantic Artifacts such as Ontologies and Vocabularies
- Research and Develop Terminology Services for making the Semantic Artifact FAIR
- Research and Develop Research Data Management Systems (RDM)
At the moment, LSK is responsible for providing the infrastructure and investigating the bests practices for two CRC (Collaborative Research Center) projects:
CRC1153: Vocabulary-oriented research data management for tailored forming process chains (https://www.sfb1153.uni-hannover.de/en/)
CRC1368: research data management for Oxygen-Free production (https://www.sfb1368.uni-hannover.de/en/sfb-1368/profile/)
The RDM system for the mentioned projects are aimed to:
- Semantically describe the Research data
- Create semantic profile for the domain specific metadata
- Make the RDM FAIR by benefiting from Knowledge management systems and Data repositories
- Make the resulted Linked Data accessible to researchers through a Knowledge Graph
The base platforms for these RDMs are:
- Semantic Media Wiki (SMW) as the knowledge Management system
- The Comprehensive Knowledge Archive Network (CKAN) as the data repository
Here is a presentation slides that describe the overall approach and the System design
A short Demo from the system (Focus on the Data repository)
Systems Endpoints:
CRC 1153:
CKAN: https://service.tib.eu/sfb1153/ckan/
SMW: https://service.tib.eu/sfb1153/wiki/Main_Page
CRC 1368:
CKAN: https://service.tib.eu/sfb1368/ckan/
SMW: https://service.tib.eu/sfb1368/wiki/Main_Page
Source Code for Plugins
Available on Lab LSK github in TIB Hannover.
https://github.com/orgs/TIBHannover/teams/lab-linked-scientific-knowledge/repositories
Publications
- Altun, O., Oladazimi, P., Wawer, M. L., Raumel, S., Wurz, M., Barienti, K., Nürnberger, F., Lachmayer, R., Mozgova, I., Koepler, O., Auer, S. (2023) ‘Enhanced Findability and Reusability of Engineering Data by Contextual Metadata’, in Proceedings of the International Conference on Engineering Design (ICED23), Bordeaux, France, 24-28 July 2023. DOI:10.1017/pds.2023.164
- Sheveleva, Tatyana, Max Leo Wawer, Pooya Oladazimi, Oliver Koepler, Florian Nürnberger, Roland Lachmayer, Sören Auer, and Iryna Mozgova. "Creation of a Knowledge Space by Semantically Linking Data Repository and Knowledge Management System-a Use Case from Production Engineering." IFAC-PapersOnLine 55, no. 10 (2022): 2030-2035.
- Mozgova, I., O. Altun, T. Sheveleva, A. Castro, P. Oladazimi, O. Koepler, R. Lachmayer, and S. Auer. "Knowledge Annotation within Research Data Management System for Oxygen-Free Production Technologies." Proceedings of the Design Society 2 (2022): 525-532.
- Altun, Osman, Tatyana Sheveleva, André Castro, Pooya Oladazimi, Oliver Koepler, Iryna Mozgova, Roland Lachmayer, and Sören Auer. "Integration eines digitalen Maschinenparks in ein Forschungsdatenmanagementsystem." In DS 111: Proceedings of the 32nd Symposium Design for X (DFX2021), pp. 1-10. 2021.
- Wawer, Max Leo, Tatyana Sheveleva, Oliver Koepler, Florian Nürnberger, Iryna Mozgova, Roland Lachmayer, and Sören Auer. "Parametrization of a Hybrid Component Production Process Chain Based on Semantically Annotated Data." In Proceedings of the 10th International Conference on Mass Customization and Personalization-Community of Europe (MCP-CE 2022), pp. 200-207. Novi Sad: University of Novi Sad, 2022.
- Mozgova, Iryna, Oliver Koepler, Angelina Kraft, Roland Lachmayer, and Sören Auer. "Research data management system for a large collaborative project." DS 101: Proceedings of NordDesign 2020, Lyngby, Denmark, 12th-14th August 2020 (2020): 1-12.
- Sheveleva, Tatyana, Kevin Herrmann, Max Leo Wawer, Christoph Kahra, Florian Nürnberger, Oliver Koepler, Iryna Mozgova, Roland Lachmayer, and Sören Auer. "Ontology-Based Documentation of Quality Assurance Measures Using the Example of a Visual Inspection." In International Conference on System-Integrated Intelligence, pp. 415-424. Cham: Springer International Publishing, 2022.
- Sheveleva, Tatyana, Oliver Koepler, Iryna Mozgova, Roland Lachmayer, and Sören Auer. "Development of a domain-specific ontology to support research data management for the tailored forming technology." Procedia Manufacturing 52 (2020): 107-112.
- Mozgova, I., O. Altun, T. Sheveleva, A. Castro, P. Oladazimi, O. Koepler, R. Lachmayer, and S. Auer. "Knowledge Annotation within Research Data Management System for Oxygen-Free Production Technologies." Proceedings of the Design Society 2 (2022): 525-532.
- Schröder, Max, Susanne Staehlke, Paul Groth, J. Barbara Nebe, Sascha Spors, and Frank Krüger. "Structure-based knowledge acquisition from electronic lab notebooks for research data provenance documentation." Journal of Biomedical Semantics 13, no. 1 (2022): 1-22.