The project will create an infrastructure for digitally supported research in the Austrian humanities. It bridges the gap between standard services in cultural heritage institutions (digitalization), research data management, software solutions and HPC offerings for the natural, technical and life sciences for processing large amounts of data with machine learning. To this end, equipment for digitalization (scanning robots, multispectral cameras) and storage solutions (Ceph) for repositories of data from cultural heritage institutions as well as GPU clusters for research and productive use of machine learning methods are being acquired and implemented. In addition, appropriate open source software is adapted to the requirements of the community and further developed. Support for the governance and long-term maintenance of the infrastructure is provided by the CLARIAH-AT consortium.

The following fields are covered by the joint infrastructure:

    Data Capture and Enhanced Image Sensing: imaging robot and mobile multispectral camera
    Repositories: Three Ceph systems for setting up curated subject-specific repositories including consulting, installation of software solutions for curated repositories
    Open source software: commissioning for the further development of open source software important to the consortium
    Infrastructure as a service: a cluster for project-specific database applications
    Machine learning: 13 GPU nodes in total