Research Data Management-Workflows for construction, engineering and architecture
Development and integration of exemplary application profiles for timber construction data
This research is an NFDI4Ing Seed Funds project that aims to develop exemplary application profiles (SHACL) based on representative research data sets on multi-storey timber buildings, created within Research Network 1 of the "Cluster of Excellence on Integrative Computational Design and Construction for Architecture" at the University of Stuttgart. The application profiles are meant to be used within the so called "Workbench", an RDF-based research data infrastructure developed within the DFG-funded Project Fachinformationsdienst (FID) BAUdigital at the University and State Library Darmstadt.
Today data is aggregated in a multitude of states. It is prepared, processed, and finally used to foster new approaches for contemporary planning and production. While there is already published research data, most of it remains inaccessible as they are stored on university servers, clouds and external hard drives. The available research data infrastructure is mainly organized in a decentralized way without central access to a domain-specific infrastructure. In addition, datasets that are published can only be annotated as closed packages on a generic level and are therefore lacking domain-specific method- and entity-related metadata to describe them. In this context, it is currently not possible for researchers and machines to search, find, explore, process, and reuse domain-specific research data in respect to the FAIR principles. In order to create a domain-specific access point for the publication of and search for research data, a repository is created in the context of the FID BAUdigital. While the technological basis for the domain-specific research data infrastructure is under development, a solution to the development of domain-specific metadata is still needed. A monolithic approach with which all research data can be described universally is not suitable, since methods and data are particularly heterogeneous. Application profiles provide an alternative, modular approach to assemble flexible application- and domain-specific metadata based on existing terminologies. The application profiles will be presented as a showcase to selected partners from the research community and jointly discussed. In parallel, the described development process will be documented and analysed as a best practice example and to be reused for the development of further application profiles.
ICD Institute for Computational Design and Construction, University of Stuttgart
Hana Svatoš-Ražnjević, Dr. -Ing. Tobias Schwinn, Prof. A. Menges
Universitäts- und Landesbibliothek (ULB) Darmstadt, TU Darmstadt
Roger Winkler, Stephan Tittel, Dr.-Ing. Andreas Noback, Gerald Jagusch, Prof. Dr. Thomas Stäcker
National Research Data Infrastructure for Engineering Sciences, NFDI4Ing Seed Fund
Winkler, R., & Svatoš-Ražnjević, H. (2023). NFDI4Ing Seed Fund Proposal 2022: RDM-Workflows for construction engineering and architecture. Zenodo. https://doi.org/10.5281/zenodo.7802981