The advent of data intensive science has fueled the generation of digital scientific data. Undoubtedly, digital research data plays a pivotal role in transparency and re-producibility of scientific results as well as in steering the innovation in a research process. However, the main challenges for science policy and infrastructure projects are to develop practices and solutions for research data management which in compliance with good scientific standards make the research data discoverable, citable and accessible for society potential reuse. The talk will present GeRDI - the Generic Research Data Infrastructure - which is such a research data management initiative targeting long tail content that stems from research communities belonging to different domains. It provides a generic and open software which connects research data infrastructures of communities to enable the investigation of multidisciplinary research questions.