Data Life Cycle Management and Analytics Code Execution Strategies for the Breath Gas Analysis Domain

In this paper we present a novel dataspace-based support platform for the international breath gas analysis community, which consists of over 30 institutions world wide with rapidly expanding research studies in various application domains. The work discussed in this paper is mainly consolidated of two independently targeted frameworks: a data life cycle management framework for e-Science applications and a code execution framework handling multiple problem solving environments. The first is based on our previous work, in particular the e-Science Life Cycle Ontology, which traces semantics about procedures a researcher is conducting during the execution of a scientific study. Within the ABA-platform these two frameworks are integrated as complementary components aiming at enabling reproducibility of breath gas studies. We present the architecture of the ABA-platform, discuss its security concept and provide a performance evaluation of the first vertical prototype implementation. Our approach to provide a platform that supports both, the preservation of scientific studies as well as their reproducibility with integrated execution services represents a novel solution for e-Science applications, where data management and code execution services can be complementary utilized.