Conquaire: Towards an Architecture Supporting Continuous Quality Control to Ensure Reproducibility of Research.

Analytical in scientific research has become a keenly discussed topic within scientific research organizations and acknowledged as an important and fundamental goal to strive for. Recently published scientific studies have found that irreproducibility is widely prevalent within the research community, even after releasing data openly. At Bielefeld University, nine research project groups from varied disciplines have embarked on a reproducibility journey by collaborating on the Conquaire project as case study partners. This paper introduces the Conquaire project. In particular, we describe the goals and objectives of the project as well as the underlying system architecture which relies on a DCVS system for storing data, and on continuous integration principles to foster data quality. We describe a first prototype implementation of the system and discuss a running example which illustrates the functionality and behaviour of the system.