Virtual research environment (VRE)

REPAC operates its own server infrastructure on which the open-source virtual, collective research environment nodegoat ( is built. This infrastructure is offered by REPAC to related projects, such as  large research projects with their own environment on the server as well as by student projects (which are provided free of charge) in a shared environment. The projects within the REPAC infrastructure have the possibility to share their digital assets.

If you, as a research project or student, are interested in a test environment, get in touch:


The aim of the REPAC infrastructure programme is to promote cooperation and collaboration between research projects, exchanging experiences and knowledge, as well as to increase the efficiency of the research process and the visibility of results. An example for a related project with its own environment within the REPAC infrastructure ist the project on forced academic migration (FAM) at the university of Bern, funded by the national fundation (SNF). An example for a student project in a shared environment is the work on medieval notarial registers.

Data Analysis / Visualization / Publication / Sharing (LOD)

The virtual research environment (VRE) nodegoat provides the prerequisites for this as a multi-user system with sophisticated analysis techniques: visualizations on maps and networks, algorithmic network analyses, time series, statistics, data export function and JSON-LD API.

Data Recycling

Besides the focus on digital academic history, REPAC is specialized in data recycling. Data from former research projects, not only on academics, which are today no longer or only with difficulty readable and usable, can be updated in the REPAC environment, for being reused in research. An example of data recycling is the project on medieval new citizens within the Holy Roman Empire, for which more than 50,000 people and about 100,000 data sets on medieval cities could be recycled from MS Access 1997.
The REPAC projects thus form an extensive data pool, especially for the Middle Ages and Early Modern Period, which will be made available in the near future as an explorative search under the domain