How (not) to design and implement a large-scale, interdisciplinary research infrastructure

Abstract

Research is increasingly carried out in large-scale, interdisciplinary research programs that aim to tackle complex, multidimensional, and future-oriented challenges. We explore the case of the Swiss Initiative in Systems Biology (SystemsX.ch), the largest ever Swiss research program, and more specifically the partial failure of the program’s IT-project SyBIT. Apart from providing IT and data science support, SyBIT aimed to establish a common data repository. The establishment of this common data repository failed. Based on an interdisciplinary analytical framework, we propose that five explanatory factors account for this failure: a lack of demand from researchers, technological complexity of heterogeneous data formats, absence of governance decisions in favor of the data repository, interpersonal problems, and political difficulties. We conclude that for large-scale research infrastructure, the policy design is crucial for success, given that it can result in positive or negative after effects, such as user resistance versus acceptance and technological complexity versus coherence.