A platform for research: civil engineering, architecture and urbanism

Research Data

The FID BAUdigital research data repository supports researchers in publishing research data and will offer the following services:

  • Support in generating standardised data packages,
  • Semantic enrichment with metadata,
  • DOI assignment for worldwide unique and persistent identification,
  • Linking with data from distributed research data resources,
  • Support for systematisation, documentation and long-term provision of research data in various formats and software versions,
  • Reuse under specific terms of use,
  • Interfaces (APIs) for controlling data flows.

The research data repository is being developed specifically for the disciplines of civil engineering, architecture and urban studies (urban planning). In addition to data storage research data can be enriched with standardised metadata on the context and subject thesauri for thematic allocation, and labelled with unique terms of use. The aim is to make the research data as open and FAIR-compliant as possible. In addition, the research data management (RDM) competencies of researchers will be trained in workshops and other forms of training, and a subject-specific contact point will be established.

Research data such as process and modelling data (e.g. CIM, BIM, CAD, LIDAR) and retro-digitised 2D and 3D objects are increasing in volume and complexity. Working with such data requires research data management and curation. This includes storing the data in a repository tailored to the specialist communities, in which they can be saved, curated and published. The TRUST principles and the FAIR principles, which aim at the reusability of research data, serve as a basis for this. At the same time, the reproducibility and transparency of research results are increased. But before data can be reused, it must first be made findable, accessible and interoperable – not only for humans but also for machines. BAUdigital supports its specialist communities in all phases of the research data lifecycle  – from planning and conception to long-term preservation.