A SOCIO-TECHNICAL PERSPECTIVE ON REPRODUCIBILITY IN RESEARCH DATA MANAGEMENT

The Open Science paradigm has brought the dissemination of experimental artifacts on the agenda of funding agencies, research institutions, and academic publishers. Managing research data is a crucial part of guaranteeing the reusability and reproducibility of published results. In this research, we suggest a conceptualization of reproducibility based on threats, risks, and vulnerabilities identified in current research data management (RDM) practices. By doing so, we can describe a range of threats to reproducibility and pinpoint areas where current RDM practices and the scholarly communication infrastructure insufficiently address these threats. Further, we elaborate on a socio-technical approach to reproducibility in RDM by collecting evidence from researchers and scientific publications. We show that the STS approach complements current IS research on RDM by offering a holistic view of reproducibility challenges in RDM.