aRDM Pipeline
enabling FAIR and efficient architectural research data management
In contemporary research, access to structured data is becoming an increasingly crucial foundation for progress and innovation. In architectural research, data is the language to collect knowledge about the present and past built environment, but also the basis to develop innovative methods and technologies in the field of design and construction. Existing data about the built environment is rarely available and architectural researchers face technical and data literacy-related challenges in efficiently collecting such data as well as making it available to others as FAIR, structured data. This data is often inherently complex and of visual nature, representing the interdisciplinary domain knowledge, the diversity of the observed objects as well as their underlying sources.
Building on the NFDI4ING Seed Funds project RDM-Workflows for construction engineering and architecture, this project aims to develop an "Architectural Research Data Management Pipeline", a novel web application designed to help researchers transform and enrich their data into a linked knowledge graph using NFDI services. The Pipeline will offer tools to enhance data processing, visualisation, presentation, exploration, and FAIR publication, improving research efficiency and dataset quality in architectural research using quantitative comparative methods.
PROJECT TEAM
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
Stephan Tittel, Gerald Jagusch, Dr. Marc Fuhrmans, Prof. Dr. Thomas Stäcker
PROJECT FUNDING
German Research Foundation (DFG), Wissenschaftliche Literaturversorgungs- und Informationssysteme (LIS)