Large Scale Research Infrastructures are rising in the competitive and globalized research environment, since they offer to external researchers-users, inputs and services for cutting-edge, large scale research. Such researches would not be possible with normal infrastructures and budgets of single Universities and Research institutions. However, despite the strategic relevance acknowledged to LSRI by the nascent literature and by national policymakers, there is a lack of comprehensive frameworks capturing both strategic dimensions and inherent options a LSRI may have. Given the infancy of this topic, and the empirical nature of the literature to date, a holistic framework on LSRI would increase the sense of existing studies and provide the ground for future advancement. This paper aims to bridge this gap, by identifying strategic dimensions and relative options, a Large Scale Research Infrastructure can assume. The research is carried out adopting a mixed research methodology merging a literature review with a survey conducted on a sample of 11 LSRIs; they provided the dataset for the parametrization of a Morphological Matrix. The research led to the identification of the strategic dimensions and the solutions (i.e. the spectrum of strategic options) defining the LSRI’s morphology. These findings represent, on another side, the starting point for a future and hopeful Morphological Analysis of LSRIs. This paper originally proposes the dataset needed to develop a morphological analysis of Large Scale Research Infrastructures.