In materials science, complex relationships exist between the properties of materials and their composition and processing. Therefore, digital transformation and acceleration in this domain represents a particularly big challenge. Although it is generally agreed that data must be linked by means of semantics and ontologies to form holistic data spaces, there is still a lack of suitable tools for integrating the necessary structures into the everyday work of scientists.[1]
This challenge must be addressed with a broad-based strategy that closely links activities at all relevant levels, including automated lab infrastructure, machine-readable specification and documentation of scientific processes and the harmonization of generated data structures in accordance with international standards efforts to build common data spaces (cf. IDS, GAIA-X).
With OpenSemanticLab (OSL)[2] we developed a reference implementation to fulfil this wide spectrum of requirements. Core of the resulting open-source solution architecture is the central web platform that links people (knowledge), machines (data) and algorithms (AI) equally by supporting both unstructured and structured content in an integrated form.[3]
This talk will provide an overview about the features using examples from our everyday laboratory work and makes the connection to the major trends in research data management.
Literature:
[1] Stier, S. P., Räder, A., Gold, L., Popp, M. A., & Triol, A. (2023, September 20). Linked Data Schema Repositories for Interoperable Data Spaces. 19th International Conference on Semantic Systems (SEMANTiCS 2023), Leipzig. https://doi.org/10.5281/zenodo.10528692 [2] S. Stier, L. Gold, A. Räder, M. Popp, A. Triol, The OpenSemanticLab Platform. Zenodo 2023, https://doi.org/10.5281/zenodo.8110655.
[3] Stier, S. P., Xu, X., Gold, L. and Möckel, M. (2024), Ontology-Based Battery Production Dataspace and Its Interweaving with Artificial Intelligence-Empowered Data Analytics. Energy Technol. 2301305. https://doi.org/10.1002/ente.202301305 [Titel anhand dieser DOI in Citavi-Projekt übernehmen]
